ICNN'97 FINAL PAPER LIST
Applications .......... Architectures .......... Biological Neural Networks .......... Cognitive Science & Cognitive Neuroscience .......... Computational Intelligence .......... Electronics & Optical Implementations .......... Intelligent Estimation and Control .......... Learning and Memory .......... Optimization & Associative Memory .......... Pattern Recognition and Image Processing .......... Robotics and Machine Vision .......... Speech Processing, Time Series & Filtering .......... Supervised / Unsupervised Learning
SPECIAL SESSIONS
Adaptive Critic Designs .......... Biomedical Applications of Neural Networks .......... Intelligent Control Theory and Applications .......... Knowledge-based Methods in Neural Networks .......... Linguistic Rule Extraction .......... Neural Networks Applications for Monitoring of Complex Systems .......... Neuro-Fuzzy Integration .......... Sensors and Biosensors .......... Visual System Models & Prostheses
ICNN97 Applications
Session: AP1A Paper Number: 506 Oral
Adaptive critic design in learning to play game of Go.
Roanak Zaman, Danil Prokhorov, Donald C. Wunsch II
Keywords: Machine learning game go
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ICNN97 Applications
Session: AP1B Paper Number: 88 Oral
Reduced-Order Functional Link Neural Network for HVAC Thermal System Identification and Modeling
Mo-yuen Chow and Jason Teeter
Keywords: System Identification Modeling Thermal System Intelligent Control
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ICNN97 Applications
Session: AP1C Paper Number: 240 Oral
Cascade-CMAC Neural Network Applications on the Color scanner to printer calibration
King-Lung Huang, Shu_Cheng Hsieh, Hsin-Chia FU
Keywords: color calibration learning
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ICNN97 Applications
Session: AP1D Paper Number: 662 Oral
Using neural networks to automatically refine expert system knoweledge-bases: Experiments in the NYNEX MAX domain
David W. Opitz, Mark W. Craven, Jude W. Shavlik
Keywords: machine learning Fault diagnosing
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ICNN97 Applications
Session: AP1E Paper Number: 144 Oral
Option pricing with genetic algorithms: an alternative to neural networks
Shu-Heng Chen and Woh-Chiang Lee
Keywords: Option pricing genetic algorithms artificial neural networks European call option
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ICNN97 Applications
Session: AP2A Paper Number: 56 Oral
Ultrashort Laser Pulse Characterization by Neural Network
Martin Searcy, Donald Cooley, Rick Trebino, Marco Krumbugel
Keywords: Laser Pulse FROG Wavelet Transform
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ICNN97 Applications
Session: AP2B Paper Number: 337 Oral
Surface identification by Acoustic reflection characteristics using time delay spectrometry and artificial neural network
Pubudu N Pathirana, anthony Zaknich
Keywords: Surface identification Spectrometry
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ICNN97 Applications
Session: AP2C Paper Number: 648 Oral
BP Network for partial discharge analysis and dielectrics classification
Riccardo Bozzo, Luca Sciutto and Rodolfo Zunino
Keywords: Feature reduction Classification
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ICNN97 Applications
Session: AP2D Paper Number: 644 Oral
A fuzzy-neural approach to real time plasma boundary reconstruction in tokamak reactors
Fransesco Carlo Morabito and M. Versaci
Keywords: fuzzy systems plasma shape identification
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ICNN97 Applications
Session: AP2E Paper Number: 256 Oral
A hopfield neural network for flow field computation based on particle image velocimetry/particle tracking velocimetry image sequences
Knaak, M; Rothlubbers, C; Orglmeister, R
Keywords: Hopfield network particle tracking Velocimetry flow fields
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ICNN97 Applications
Session: AP2F Paper Number: 573 Oral
An artificial neuron network for naval theater ballistic missile defense program
Tai-Ching Chu, Harold Szu
Keywords: Ballistic Missile
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ICNN97 Applications
Session: AP3A Paper Number: 469 Oral
Using a neural network to Diagnosing anterior wall myocardial infarction
Ning Ouyang, Mitsuru Ikeda, Kazunobu Yamauchi
Keywords: Medical diagnosis ECG data
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ICNN97 Applications
Session: AP3B Paper Number: 39 Oral
Application of Fuzzy Neural Network to ECG Diagnosis
Xie Zhi-xing Xie Han-zhong Ning Xing-bao
Keywords: ECG Signals Fuzzy Neural Network Diagnosis System Fuzzy Model
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ICNN97 Applications
Session: AP3C Paper Number: 175 Oral
Noninvasive diagnosis of delayed gastric emptying from the cutaneous electrogastrogram using neural networks
zhiyue Lin Richard W. McCallum, Jian De Z Chen
Keywords: Gastric Emptying Delayed Emptying Electrogastrogram
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ICNN97 Applications
Session: AP3D Paper Number: 625 Oral
Predictive Medicine: Initial symptoms may determine outcome in clinically treated depressions
Joannes S. Luciano, Michael A. Cohen, Jacqueline A. Samson
Keywords: Prediction Nonlinear modeling
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ICNN97 Applications
Session: AP3E Paper Number: 553 Oral
Locating Anatomical Landmarks for prosthetics design using ensemble neural networks
Daniel Jimenez, Thomas Darm, Bill Rogers, Nicolas Walsh
Keywords: Prosthetics Design Anatomical landmarks
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ICNN97 Applications
Session: AP3F Paper Number: 214 Oral
Motif neural network design for large-scale protein family identification
Cathy H. Wu, Sheng Zhao, Kevin Simmons , and Saillaja Shivakumar
Keywords: molecular databases motif identification protein family identification
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ICNN97 Applications
Session: AP4A Paper Number: 638 Oral
Identifying putative molten globular domains in proteis from amino acid sequence
P. Romero, Z. Obradovic, C. Kissinger, J. E. Willafranca, A. K. Dunker
Keywords: prediction rule-based prediction
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ICNN97 Applications
Session: AP4B Paper Number: 195 Oral
Categorizing Web Documents Using competitive learning: An Ingredient of a personal adaptive agent
I. Khan, D. Blight, R. D. McLeod, and H. C. Card
Keywords: competitive learning Web Documents document clustering
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ICNN97 Applications
Session: AP4C Paper Number: 193 Oral
A Comparison of backpropagation and statistical classifiers for bird identification
A. L. McIlraith and H. C. Card
Keywords: Backpropagation methods Statistical classifiers Bird identification
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ICNN97 Applications
Session: AP4D Paper Number: 38 Oral
The Backpropagation Algorithm Applied to Protective Relaying
D.V. Coury and D.C. Jorge
Keywords: Distance Protection Pattern Classifier Protective Relaying
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ICNN97 Applications
Session: AP5A Paper Number: 216 Oral
On-line prediction of polymer product quality in an industrial reactor using recurrent neural networks
Randall S. Barton and David M. Himmelblau
Keywords: Recurrent Neural Networks Prediction Product quality
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ICNN97 Applications
Session: AP5B Paper Number: 502 Oral
Neural network for wind power generation with compressing function
Shuhui Li, Don C. Wunsch, Edgar O'Hair, Michael G. Giesselmann
Keywords: wind power
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ICNN97 Applications
Session: AP5C Paper Number: 405 Oral
Applying the connectionist inductive learning and logic programming system to power system diagnosis
Artur S. d'Avila Garcez and Gerson Zaverucha
Keywords: Hybrid Systems Machine learning power systems
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ICNN97 Applications
Session: AP5D Paper Number: 398 Oral
Modeling of the Proofing Process in a Continuos Bread-making Industrial Plant using neural networks
A. Ferroni, A. Ficola, M. La gava, M. Fravolini
Keywords: Model identification System identification
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ICNN97 Applications
Session: AP6A Paper Number: 249 Oral
A Neural network Driven Solution to a Channel Assignment Problem in Wireless Telephony
D. Tissainayagam, D. Everitt, M. Palaniswami
Keywords: wireless telephony channel assignment algorithms
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ICNN97 Applications
Session: AP6B Paper Number: 219 Oral
Signal estimation with neural networks for multipath mobile communication
Thomas L. Hemminger
Keywords: Signal estimation multipath fading wireless communication
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ICNN97 Applications
Session: AP6C Paper Number: 237 Oral
A decision feedback recurrent neural equalizer for digital communication
Sunghwan Ong, Sooyong Choi, Cheolwoo Yoo, and Daesik Hong
Keywords: Digital communication Equalization recurrent Neural equalizer
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ICNN97 Applications
Session: AP6D Paper Number: 177 Oral
A COmplex Pi-sigma network and its application to equalization of nonlinear satellite channels
Byung-Moon Yoon, Keun-Sik Jin and Yoan Shin
Keywords: Satellite Communication Pi-sigma network
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ICNN97 Applications
Session: AP6E Paper Number: 85 Oral
Neural Network-Based Real-Time Dynamic Nonhierarchical Network Routing for B-ISDN
Hua Nan, Zemin Liu
Keywords: Network Routing Hopfield Network Optimization
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ICNN97 Applications
Session: APP2 Paper Number: 322 Poster
Defect Prediction for reactive Ion Etching using neural networks
D. Stokes, and G. May
Keywords: defect prediction reactive ion etching particle monitoring
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ICNN97 Applications
Session: APP2 Paper Number: 543 Poster
Computer access authentication with neural network based keystroke identity verification
Daw-tung Lin
Keywords: COmputer access security idendity authentication backpropagation
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ICNN97 Applications
Session: APP2 Paper Number: 235 Poster
An Artificial Neural Network based real-time fault locator for transmission line
Zhihong Chen, Jean-Claud Maun
Keywords: Fault locator Transmission line
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ICNN97 Applications
Session: APP2 Paper Number: 589 Poster
Neural Networks on Fatigue damage prediction
Tiago A. Piedras Lopes
Keywords: fatigue damage Offshore structure
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ICNN97 Applications
Session: APP2 Paper Number: 106 Poster
Prediction of Products Quality Parameters of a Crude Fractionation Section of an Oil Refinery Using Neural Networks
K. Bawazeer , Ali Zilouchian
Keywords: Inferential Analysis Prediction Backpropagation
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ICNN97 Applications
Session: APP2 Paper Number: 483 Poster
An on-line distribution feeder optimal reconfiguration algorithm for resistive loss reduction using a Multi-layer perceptron
E. Gauche J. Coelho, R. C. G. Teive
Keywords: Optimization network reconfiguration loss minimization
ICNN97 Architectures
Session: AR1A Paper Number: 31 Oral
On the properties of periodic perceptrons
David B. McCaughan
Keywords: periodic perceptrons periodic activation function pattern classification
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ICNN97 Architectures
Session: AR1B Paper Number: 161 Oral
Identification of a class of nonlinear systems using dynamic neural network structures
A. Yazdizadeh and K. Khorasani
Keywords: nonlinear systems dynamic neural network structures
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ICNN97 Architectures
Session: AR1C Paper Number: 271 Oral
Function approximation in the framework of evidence theory: a connectionist approach
Thierry Denoeux
Keywords: Function approximation evidence theory radial basis function
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ICNN97 Architectures
Session: AR1D Paper Number: 273 Oral
Orthogonal functional basis neural network for functional approximation
C.L. Philip Chen, Y. Cao and Steven R. LeClair
Keywords: Orthogonal functional basis neural network functional approximation
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ICNN97 Architectures
Session: AR1E Paper Number: 351 Oral
CBP networks as a generalized neural model
Sandro Ridella, Stefano Rovetta, and Rodolfo Zunino
Keywords: backpropagation pattern classification Radial basis functions Vector quantization
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ICNN97 Architectures
Session: AR2A Paper Number: 119 Oral
A modified mixtures of experts architecture for classification with diverse features
Ke Chen and Huisheng Chi
Keywords: modified mixtures of experts architecture classification diverse features
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ICNN97 Architectures
Session: AR2B Paper Number: 358 Oral
Regularization and Error Bars for the mixture of Experts network
Viswanath Ramamurti and Joydeep Ghosh
Keywords: Functionapproximation Generalization Regularization
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ICNN97 Architectures
Session: AR2C Paper Number: 202 Oral
CMNN: cooperative modular neural network
Gasser Auda and Mohamed Kamel
Keywords: modular neural network classification
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ICNN97 Architectures
Session: AR2D Paper Number: 519 Oral
Assembling engineering knowledge in a modular multilayer perceptron neural network
W.J. Jansen, M. Diepenhorst, J.A.G. Nijhuis and L. Spaanenburg
Keywords: engineering knowledge modular multilayer perceptron neural network
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ICNN97 Architectures
Session: AR2E Paper Number: 260 Oral
A hierarchical decision module based on multiple neural networks
Murat Sonmez, Mingui Sun, Ching-Ching Li and Robert Sclabassi
Keywords: hierarchical decision module multiple neural networks source localization
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ICNN97 Architectures
Session: AR2F Paper Number: 664 Oral
Algorithms for optimal linear combinations of neural networks
Sherif Hashem
Keywords: Algorithms optimal linear combinations of neural network
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ICNN97 Architectures
Session: AR3A Paper Number: 546 Oral
Improving ANN generalization using a priori knowledge to pre-structure ANNs
George G. Lendaris, Armin Rest and Thomas R. Misley
Keywords: ANN generalization priori knowledge pre-structure ANNs
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ICNN97 Architectures
Session: AR3B Paper Number: 663 Oral
Analyzing the structure of a neural network using principal component analysis
David W. Opitz
Keywords: neural network structure principal component analysis penalty term
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ICNN97 Architectures
Session: AR3C Paper Number: 599 Oral
Approximation capabilities of adaptive spline neural networks
Lorenzo Vecci, Paolo Campolucci, Francesco Piazza and Aurelio Uncini
Keywords: Approximation adaptive spline neural networks kernels
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ICNN97 Architectures
Session: AR3D Paper Number: 308 Oral
Incorporating functional knowledge into neural networks
Fang Wang and Q.J. Zhang
Keywords: functional knowledge neural networks generalization
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ICNN97 Architectures
Session: AR4A Paper Number: 269 Oral
Stability and discriminative properties of the AMI model
D.B. Hoang and M. James
Keywords: AMI model stability negative feedback
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ICNN97 Architectures
Session: AR4B Paper Number: 267 Oral
Formalizing neural networks using graph transformations
Michael R. Berthold and Ingrid Fischer
Keywords: neural networks graph transformations training
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ICNN97 Architectures
Session: AR4C Paper Number: 360 Oral
Fuzzy combination of Kohonen's and ART Neural network models to detect statistical regularities in a random sequence of Multi-valued input patterns
Andrea Baraldi and Flavio Parmiggiani
Keywords: Fuzzy ART Pattern classification Statistical regularities
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ICNN97 Architectures
Session: AR4D Paper Number: 311 Oral
Entropy-driven structural adaptation in sample-space self-organizing feature maps for pattern classification
O. Yanez-Suarez and M.R. Azimi-Sadjadi
Keywords: Self-organizing map density estimation Classification
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ICNN97 Architectures
Session: ARP1 Paper Number: 275 Poster
PASS: a program for automatic structure search
Zhanbo Chen, Jing Xiao and Jie Cheng
Keywords: automatic structure search feedforward neural networks evolutionary computation
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ICNN97 Architectures
Session: ARP1 Paper Number: 473 Poster
A comparative study of fully and partially recurrent networks
J. Ludik, W. Prins, K. Meert and T. Catfolis
Keywords: fully recurrent networks partially recurrent networks network architecture
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ICNN97 Architectures
Session: ARP1 Paper Number: 83 Poster
Fault immunization technique for artificial neural networks
Chidchanok Lursinsap and Thitipong Tanprasert
Keywords: Fault immunization artificial neural networks cell
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ICNN97 Architectures
Session: ARP1 Paper Number: 391 Poster
Network Complexity and generalization
Sangbong Park and Cheol Hoon Park
Keywords: Network complexity Generalization Function approximation
BIOLOGICAL NEURAL NETWORKS (Return to Top)
ICNN97 Biological Neural Networks
Session: BI1A Paper Number: 231 Oral
Hippocampal lesions may impair, spare, or facilitate latent inhibition: A neural network explanation
Catalin V. Buhusi and Nestor A. Schmajuk
Keywords: neural network latent inhibition hippocampus attention
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ICNN97 Biological Neural Networks
Session: BI1B Paper Number: 614 Oral
Stable and unstable chaos states of receptor cell syncytium and stochastic resonance without noise
Hirofumi Funakubo, Yoshiki Kashimori and Takeshi Kambara
Keywords: chaos states receptor cell syncytium stochastic resonance
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ICNN97 Biological Neural Networks
Session: BI1C Paper Number: 314 Oral
Canonical models for mathematical neuroscience
Frank Hoppensteadt and Eugene Izhikevich
Keywords: multiple bifurcations weakly connected neural network
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ICNN97 Biological Neural Networks
Session: BI1D Paper Number: 580 Oral
A neural network model of hippocampally mediated trace conditioning
William B. Levy and Per B. Sederberg
Keywords: hippocampus mediated trace conditioning classical conditioning
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ICNN97 Biological Neural Networks
Session: BI1E Paper Number: 550 Oral
A neural mechanism for hyperacuity in jamming avoidance response of electric fish Eigenmannia
Yoshiki Kashimori and Takeshi Kambara
Keywords: hyperacuity jamming avoidance response electric fish Eigenmannia
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ICNN97 Biological Neural Networks
Session: BI1F Paper Number: 382 Oral
Self-organizing map develops V1 organization given biologically realistic input
Jeff McKinstry and Clark Guest
Keywords: Self-organizing map V1 organization retinal wave input
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ICNN97 Biological Neural Networks
Session: BI2A Paper Number: 617 Oral
Feature extraction from mixed odor stimuli based on spatio-temporal representation of odors in olfactory bulb
Osamu Hoshino, Yoshiki Kashimori and Takeshi Kambara
Keywords: Feature extraction mixed odor stimuli spatio-temporal representation
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ICNN97 Biological Neural Networks
Session: BI2B Paper Number: 527 Oral
Computing with dynamic synapses: a case study of speech recognition
Jim-Shih Liaw and Theodore W. Berger
Keywords: dynamic synapses speech recognition presynaptic feedback inhibition
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ICNN97 Biological Neural Networks
Session: BI2C Paper Number: 221 Oral
The selective integration neural network model of lightness perception
William D. Ross and Luiz Pessoa
Keywords: selective integration lightness perception context-sensitive
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ICNN97 Biological Neural Networks
Session: BI2D Paper Number: 432 Oral
A neural network model of motion detection for moving plaid stimuli
Lars Liden
Keywords: motion detection moving plaid stimuli recurrent neural network
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ICNN97 Biological Neural Networks
Session: BI2E Paper Number: 579 Oral
A simple, biologically motivated neural network solves the transitive inference problem
William B. Levy and Xiangbao Wu
Keywords: transitive inference problem configural learning problems syllogistic reasoning
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ICNN97 Biological Neural Networks
Session: BI2F Paper Number: 315 Oral
Thalamo-cortical interactions modeled by forced weakly connected oscillatory networks
Frank Hoppensteadt and Eugene Izhikevich
Keywords: multiple Andeonov-Hopf bifurcations weakly connected neural network Weakly forced oscillators FM radio
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ICNN97 Biological Neural Networks
Session: BIP2 Paper Number: 525 Poster
A model of the neuro-ommatidium of the fly's eye
J. A. Moya, G. W. Donohoe and M. J. Wilcox
Keywords: neuro-ommatidium fly's eye computer vision
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ICNN97 Biological Neural Networks
Session: BIP2 Paper Number: 445 Poster
A possible intralaminar mechanism for interhemispheric communication
Juan Fernando Gomez Molina and Francisco Lopera
Keywords: 4 interhemispheric communication thalamic oscillator multiplexing
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ICNN97 Biological Neural Networks
Session: BIP2 Paper Number: 116 Poster
A Model of the Basal Ganglia for the Procedure of drive
Kenta Hori
Keywords: Basal ganglia prediction
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ICNN97 Biological Neural Networks
Session: BIP2 Paper Number: 14 Poster
Anti-Hebbian synapses as a linear equation solver
Kechen Zhang, Giorgio Ganis, and Martin I. Sereno
Keywords: Hebbian synapses weight normalization solving system of equations
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ICNN97 Biological Neural Networks
Session: BIP2 Paper Number: 321 Poster
A point-process coincidence network for representing interaural delay
Timothy A. Wilson and Rachod Thongprasirt
Keywords: point-process coincidence interaural delay acoustic information
COMPUTATIONAL INTELLIGENCE (Return to Top)
ICNN97 Computational Intelligence
Session: CI1A Paper Number: 367 Oral
Fuzzy rule networks and its applications to decision-making under uncertainty
Zhang Xinghu and How Kee Yin
Keywords: Fuzzy rule networks decision-making uncertainty
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ICNN97 Computational Intelligence
Session: CI1B Paper Number: 359 Oral
Evaluation ordering of rules extracted from feedforward networks
Ismail Taha and Joydeep Ghosh
Keywords: Evaluation ordering feedforward networks rules extraction
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ICNN97 Computational Intelligence
Session: CI1C Paper Number: 416 Oral
A fuzzy neural network based on hierarchical space partitioning
Chu Kwong Chak, Gang Feng and Marimuthu Palaniswami
Keywords: fuzzy neural network hierarchical space partitioning adaptive fuzzy system
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ICNN97 Computational Intelligence
Session: CI1D Paper Number: 401 Oral
A neural fuzzy approach for fuzzy system design
M. Figueiredo and F. Gomide
Keywords: neural fuzzy approach fuzzy system design fuzzy rule base
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ICNN97 Computational Intelligence
Session: CI1E Paper Number: 150 Oral
Comparative analysis of fuzzy inference systems implemented on neural structures
Sinan Altug and Mo-Yuen Chow
Keywords: fuzzy inference systems neural structures motor fault detection
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ICNN97 Computational Intelligence
Session: CI2A Paper Number: 128 Oral
A co-evolutionary algorithm for neural network learning
Qiangfu Zhao
Keywords: evolutionary algorithm neural network learning optimal system design
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ICNN97 Computational Intelligence
Session: CI2B Paper Number: 647 Oral
Feedforward neural networks configuration using evolutionary programming
Manish Sarkar and B. Yegnanarayana
Keywords: artificial neural networks evolutionary programming contract bridge game
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ICNN97 Computational Intelligence
Session: CI2C Paper Number: 381 Oral
Neuro-fuzzy modeling of complex systems using genetic algorithms
Wael A. Farag and V. H. Quintana
Keywords: Neuro-fuzzy modeling complex systems genetic algorithms
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ICNN97 Computational Intelligence
Session: CI2D Paper Number: 234 Oral
A parallel hybrid genetic algorithm simulated annealing approach to finding most probable explanations for Bayesian belief networks
Ashraf M. Abdelbar and Sandra M. Hedetniemi
Keywords: parallel hybrid genetic algorithm simulated annealing most probable explanations for Bayesian belie
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ICNN97 Computational Intelligence
Session: CI2E Paper Number: 672 Oral
An evolutionary programming-based probablistic neural network construction technique
Manish Sarkar and B. Yegnanarayana
Keywords: probablistic neural networks Gaussian mixture evolutionary programming fuzzy
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ICNN97 Computational Intelligence
Session: CI3A Paper Number: 149 Oral
An optimizing FAMLB rules algorithm for traffic control in ATM communication networks
Zhifeng Jiang and Zemin Liu
Keywords: FAMLB rules traffic control ATM communication networks
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ICNN97 Computational Intelligence
Session: CI3B Paper Number: 616 Oral
Neural fuzzy agents that learn profiles and search databases
Sanya Mitaim and Bart Kosko
Keywords: fuzzy sets database Neural fuzzy agents fuzzy rules
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ICNN97 Computational Intelligence
Session: CI3C Paper Number: 649 Oral
Neuro-Fuzzy Approaches to collaborative Scientific computing
N. Ramakrishnan, Anupam Joshi, Elias N. Houstis, John R. Rice
Keywords: Learning Supervised classification
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ICNN97 Computational Intelligence
Session: CI3D Paper Number: 19 Oral
A new fuzzy classifier with triangular membership function
Yong-Sheng Yang, Hung Nguyen, Francis H. Y. Chan, F. K. Lam
Keywords: Fuzzy classifier Membership functions Clustering
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ICNN97 Computational Intelligence
Session: CI3E Paper Number: 376 Oral
Stability analysis of neural networks
Thomas Feuring and Andreas Tenhagen
Keywords: Stability analysis neural networks fuzzy network
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ICNN97 Computational Intelligence
Session: CI3F Paper Number: 82 Oral
Task Allocation for multiple-network architectures
Thorsten Drabe, and Wolfgang Bressgott
Keywords: Task allocation Multiple network architectures Genetic algorithms
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 22 Poster
Retaining diversity of search point distribution through breeder genetic algorithm approach
D. Popovic, K. C. S. Murty
Keywords: Genetic algorithms Training Optimization
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 186 Poster
Knowledge-based fuzzy MLP with rough sets
Mohua Banerjee, Sushmita Mitra and Sankar K. Pal
Keywords: Knowledge-based networks fuzzy MLP rough sets classification
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 189 Poster
On the relationship between fuzzy neurons and fuzzy multilinear mappings
K. S. Abdulkhalikov, C. Kim and H. S. Cho
Keywords: fuzzy neurons fuzzy multilinear mappings fuzzy sets
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 212 Poster
An intelligent sales forecasting system through fuzzy neural network
R. J. Kuo and K. C. Xue
Keywords: sales forecasting fuzzy neural network fuzzy logic
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 615 Poster
Adaptive joint fuzzy sets for function approximation
Sanya Mitaim and Bart Kosko
Keywords: fuzzy sets function approximation
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 552 Poster
a neuro-fuzzy model reduction strategy
G. Castellano and A. M. Fanelli
Keywords: neuro-fuzzy model reduction simplification fuzzy system
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 344 Poster
Competitive hybrid neuro-fuzzy models for supervised classification
Nicola Giusti, Francesco Masulli and Alessandro Sperduti
Keywords: Competitive hybrid neuro-fuzzy models supervised classification fuzzy basis function networks
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 293 Poster
Extraction method of rules from reflective neural network architecture
Takumi Ichimura, Noboru Matsumoto, Eiichiro Tazaki and Katsumi Yoshida
Keywords: reflective neural network network architecture learning procedure
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 588 Poster
a training technique for fuzzy number neural networks
James Dunyak and Donald Wunsh
Keywords: training fuzzy number neural networks
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ICNN97 Computational Intelligence
Session: CIP1 Paper Number: 507 Poster
Fuzzy logic, neural networks, and brain-like learning
Asim Roy and Raymond Miranda
Keywords: Fuzzy logic neural networks brain-like learning
COGNITIVE SCIENCE AND COGNITIVE NEUROSCIENCE (Return to Top)
ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS1A Paper Number: 423 Oral
Neural network model for spatial memory
Kunihiko Fukushima and Yoshio Yamaguchi
Keywords: spatial memory correlation matrix memory imagery layer
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS1B Paper Number: 146 Oral
A role for the hippocampal system in the learning of distal cortical associations
J. G. Wallace and K. Bluff
Keywords: hippocampal system distal cortical associations Newel's model
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS1C Paper Number: 635 Oral
A neural network for decision making under the influence of reinforcement
Jean-Daniel Kant and Daniel S. Levine
Keywords: reinforcement decision making adaptive resonance theory
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS1D Paper Number: 123 Oral
A neocortically-derived model of continuous contextual processing
Andreas Garzotto, Boris Aleksandrovsky, and Richard Granger
Keywords: continuous contextual processing neocortical regions feedforward-feedback system
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS2A Paper Number: 185 Oral
Modelling the perceptual separation of concurrent vowels with a network of neural oscillators
Guy J. Brown and DeLiang Wang
Keywords: neural oscillators perceptual separation concurrent vowels
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS2B Paper Number: 307 Oral
Multiresolution elementary tonotopic features for speech perception
Elaine Y. L. Tsiang
Keywords: elementary tonotopic features speech perception fixed-weight FIR neural network
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS2C Paper Number: 533 Oral
A minimal neural network for target searching and danger avoidance by smell
Wee Kheng Leow and Hsueh Chyi Yee
Keywords: minimal neural network target searching danger avoidance
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS2D Paper Number: 549 Oral
Hierarchical classification of odor quality based on dynamical property of neural network and olfactory cortex
Tetsuya Oyamada, Yoshiki Kashimori and Takeshi Kambara
Keywords: Hierarchical classification odor quality dynamical property of neural network olfactory cortex
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS2E Paper Number: 523 Oral
Neural field model of oculomotor preparation and disengagement
T. Trappenberg, S. Simpson, R. M. Klein, D. P. Munoz, M. C. Dorris and P. McMullen
Keywords: Neural field model oculomotor preparation and disengagement gap effect
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CS2F Paper Number: 91 Oral
World-centered representation for neural networks
Lei Guo
Keywords: pattern recognition invariance full-parallel computation
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CSP2 Paper Number: 76 Poster
Natural properties in an artificial neural network
Stefan C. Kremer
Keywords: Natural properties artificial neural network feature identification
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CSP2 Paper Number: 114 Poster
Visual position and orientation orders
Zhiyong Yang and Songde Ma
Keywords: Visual position orientation regularization theory
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ICNN97 Cognitive Science & Cognitive Neuroscience
Session: CSP2 Paper Number: 113 Poster
Phase transitions and bifurcation in visual perception
Zhiyong Yang and Songde Ma
Keywords: Phase transitions bifurcation visual perception
INTELLIGENT ESTIMATION & CONTROL (Return to Top)
ICNN97 Intelligent Estimation & Control
Session: EC1A Paper Number: 582 Oral
Intelligent flight controller for helicopter control
Saleh Zein-Sabatto, Yixiong Zheng and Wen-Ruey Hwang
Keywords: Intelligent flight control helicopter control genetic algorithm
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ICNN97 Intelligent Estimation & Control
Session: EC1B Paper Number: 403 Oral
Radial basis function network based power system stabilizers in multimachine power systems
M. A. Abido and Y. L. Abdel-Magid
Keywords: Radial Basis Functions Power system stabilizer
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ICNN97 Intelligent Estimation & Control
Session: EC1C Paper Number: 470 Oral
Synthesis of a discrete-time feedback neural controller
P. Couturier, A. Johannet and M. Betemps
Keywords: discrete-time feedback neural controller real plants nonlinear functions
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ICNN97 Intelligent Estimation & Control
Session: EC1D Paper Number: 27 Oral
Pulp digester level prediction using multiresolution networks of locally active units
A. Fern, J. Miranda, M. T. Musavi and D. R. Coughlin
Keywords: Pulp digester level prediction multiresolution networks locally active units
_____
ICNN97 Intelligent Estimation & Control
Session: EC1E Paper Number: 181 Oral
Neural Network adaptive control of the penicillin acylase fermentation
Mei-J. Syu and C. B. Chang
Keywords: Adaptive control fermentation
_____
ICNN97 Intelligent Estimation & Control
Session: EC2A Paper Number: 243 Oral
Relaxation oscillator networks with time delays
Shannon Campbell and DeLiang Wang
Keywords: Relaxation oscillator networks time delays excitatory chemical synapses
_____
ICNN97 Intelligent Estimation & Control
Session: EC2B Paper Number: 542 Oral
Meanfield neurodynamics with changing values of threshold logic
Harold Szu and Charles Hsu
Keywords: Meanfield neurodynamics threshold logic Hebbian synaptic weight
_____
ICNN97 Intelligent Estimation & Control
Session: EC2C Paper Number: 634 Oral
Experimental analysis of behavior stability in neuron gain domain in recurrent complex-valued neural networks
Akira Hirose and Hirofumi Onishi
Keywords: neuron gain domain recurrent complex-valued neural networks behavior stability
_____
ICNN97 Intelligent Estimation & Control
Session: EC2D Paper Number: 136 Oral
Numerical studies of resonance in a sinusoidally driven chaotic neuron model and its global coupling network
Shin Mizutani, Takuya Sano, Tadasu Uchiyama, Noboru Sonehara, and Katsunori Shimohara
Keywords: Stochastic resonance Chaotic neuron global coupling network
_____
ICNN97 Intelligent Estimation & Control
Session: EC2E Paper Number: 370 Oral
Detecting oscillations in neural networks via frequency domain analysis
Jorge L. Moiola, Daniel Berns, Guanrong Chen and Haluk Ogmen
Keywords: neural networks oscillations frequency domain analysis periodic solutions
_____
ICNN97 Intelligent Estimation & Control
Session: EC2F Paper Number: 278 Oral
Equivalent dynamics in different neural oscillator models
Jorg Berdux and Rainer Malaka
Keywords: neural oscillator ordinary differential equations harmonic oscillators
_____
ICNN97 Intelligent Estimation & Control
Session: EC3A Paper Number: 220 Oral
Adaptive filtering and prediction based on Hopfield neural networks
Mariko Nakamo-Miyatake and Hector Perez-Meana
Keywords: Adaptive filtering Adaptive prediction Hopfield neural networks
_____
ICNN97 Intelligent Estimation & Control
Session: EC3B Paper Number: 510 Oral
The analytical solution of gamma filter model
Tai-Wu Chiang
Keywords: gamma filter functional approximator numerical training
_____
ICNN97 Intelligent Estimation & Control
Session: EC3C Paper Number: 645 Oral
A nonlinear model predictive controller using neural networks
Ozgur Karahan, Canan Ozgen, Ugur Halici and Kemal Leblebicioglu
Keywords: nonlinear model predictive control artificial neural networks
_____
ICNN97 Intelligent Estimation & Control
Session: EC3D Paper Number: 627 Oral
Neural network identification and control in the presence of noise
O. Olurotimi, R. McDonald and S. Das
Keywords: Neural network identification Neural network control noise
_____
ICNN97 Intelligent Estimation & Control
Session: EC4A Paper Number: 516 Oral
Internal feedback neuron networks for modelling of an industrial furnace
Anil K. Gobbak, H. Raghavendran and Anand M. Tapas
Keywords: neural networks recurrent neural networks system identification industrial furnaces
_____
ICNN97 Intelligent Estimation & Control
Session: EC4B Paper Number: 170 Oral
Backpropagated adaptive critic neurofuzzy controller for nonlinear dynamic system
Z. Gherari and Y. Hamam
Keywords: Neurofuzzy controller prediction rule-based refinement
_____
ICNN97 Intelligent Estimation & Control
Session: EC4C Paper Number: 545 Oral
Training strategies for critic and action neural networks in dual heuristic programming method
George G. Lendaris and Christian Paintz
Keywords: Training strategies critic neural networks action neural networks dual heuristic programming method
_____
ICNN97 Intelligent Estimation & Control
Session: EC4D Paper Number: 306 Oral
neural network isolation of system inputs for transient modelling and control
Anya Tascillo
Keywords: neural network isolation system inputs transient modelling and control
_____
ICNN97 Intelligent Estimation & Control
Session: EC4E Paper Number: 355 Oral
The application of wavelet neural networks to nonlinear predictive control
Dexian Huang and Yihui Jin
Keywords: wavelet neural networks nonlinear predictive control least squares learning algorithm
_____
ICNN97 Intelligent Estimation & Control
Session: EC4F Paper Number: 223 Oral
a neural network algorithm using wavelets and auto regressive inputs for system identification
J.R. HUll, H.P. Pendse and M.T. Musave
Keywords: wavelets auto regressive inputs system identification
_____
ICNN97 Intelligent Estimation & Control
Session: EC5A Paper Number: 1 Oral
Modeling of neural networks in feedback systems using describing functions
Peter C. Y. Chen and James K. Mills
Keywords: feedback systems describing functions SISO neural networks
_____
ICNN97 Intelligent Estimation & Control
Session: EC5B Paper Number: 363 Oral
A new method for the analysis of neural reference model control
Michael Wigbers and Martin Riedmiller
Keywords: neural reference model control MRAC-control backpropagation
_____
ICNN97 Intelligent Estimation & Control
Session: EC5C Paper Number: 512 Oral
Inverse mappings of continuous functions using feedforward neural networks
Hatem M. Deif, Jacek M. Zurada and Wojciech Kuczborski
Keywords: Inverse mappings continuous functions feedforward neural networks
_____
ICNN97 Intelligent Estimation & Control
Session: EC5D Paper Number: 41 Oral
An escape method from local minimum by orbital correction method at controller learning
Kotaro Hirasawa, Masanao Ohbayashi and Hiroto Takata
Keywords: escape method local minimum orbital correction method controller learning
_____
ICNN97 Intelligent Estimation & Control
Session: EC5E Paper Number: 305 Oral
Partitioning input space for control-learning
Dean F. Hougen, Maria Gini and James Slagle
Keywords: input space Partitioning control-learning temporal domains
_____
ICNN97 Intelligent Estimation & Control
Session: EC5F Paper Number: 81 Oral
Improving tuning capability of the adjusting neural network
Yoichi Sugita, Masahiro Kayama and Yasuo Morooka
Keywords: tuning capability adjusting neural network parameter tuning
_____
ICNN97 Intelligent Estimation & Control
Session: EC6A Paper Number: 437 Oral
The use of feedforward neural networks to cancel nonlinearities of dynamic systems
Edilberto P. Teixeira, Elmo B. Faria, and Adriano Breunig
Keywords: linearization direct estimation feedback
_____
ICNN97 Intelligent Estimation & Control
Session: EC6B Paper Number: 526 Oral
Fixed-weight controller for multiple systems
L. A. Feldkamp and G. V. Puskorius
Keywords: Fixed-weight controller multiple systems closed-loop system
_____
ICNN97 Intelligent Estimation & Control
Session: EC6C Paper Number: 492 Oral
The state estimation of the CSTR system based on a recurrent neural network trained by HGAs
Lei Jia, Guangdong He and J. P. Jiang
Keywords: BP algorithm genetic algorithm hybrid genetic algorithms recurrent neural network
_____
ICNN97 Intelligent Estimation & Control
Session: EC6D Paper Number: 489 Oral
The model reference adaptive control based on the genetic algorithm
Lei Jia and J. P. Jiang
Keywords: model reference adaptive control genetic algorithm PID control
_____
ICNN97 Intelligent Estimation & Control
Session: EC6E Paper Number: 45 Oral
Nonlinear control system with radial basis function controller using random search method of variable search length
Ning Shao, Kotaro Hirasawa, Masanao Ohbayashi and Kazuyuki Togo
Keywords: Nonlinear control system radial basis function controller random search method variable search length
_____
ICNN97 Intelligent Estimation & Control
Session: EC6F Paper Number: 225 Oral
Multi-layer neural network controller for trajectory tracking control of a pneumatic cylinder
David C. Gross and Kuldip S. Rattan
Keywords: Multi-layer neural network controller trajectory tracking control pneumatic cylinder
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 43 Poster
Non-linear system control using learning Petri network
Masanao Ohbayashi, Kotaro Hirasawa and Singo Sakai
Keywords: Non-linear system control learning Petri network brain science
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 610 Poster
Frequency-domain vibration control using adaptive neural networks
Gary G. Yen
Keywords: vibration suppression adaptive neural control Frequency-domain structural control
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 18 Poster
Global and local optimization in adaptive neurocontrol
Tomas Hrycej
Keywords: Global optimization local optimization adaptive neurocontrol
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 563 Poster
Comparison of CMACs ans radial basis functions for local function approximators in reinforcement learning
R. Matthew Kretchmar and Charles W. Anderson
Keywords: CMACs radial basis functions local function approximators reinforcement learning
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 126 Poster
Analytical and computational results on recurrent dynamic neural network for signal representation
Marc Karam and Mohamed A. Zohdy
Keywords: Recurrent neural networks Signal representation signal modeling
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 522 Poster
Non-monotone network dynamics
Thomas Trappenberg
Keywords: recurrent neural networks Non-monotone transfer functions network dynamics
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 466 Poster
Yield improvement in GaAs IC manufacturing using neural network inverse modeling
Jacek M. Zurada, Andrzej Lozowski and Aleksander Malinowski
Keywords: Yield improvement GaAs IC manufacturing neural network inverse modeling
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 182 Poster
A design method of optimal control system by use of neural network
Hiroaki Nakanishi, Takehisa kohda, and Koichi inoue
Keywords: Neural net controller Powell's conjugate direction
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 493 Poster
Non-linear PID controler using neural networks
Toshiharu Matsukuma, Atsushi Fujiwara, Junbo Song and Yoshihisa Ishida
Keywords: Non-linear controler PID controller pneumatic servo system
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 478 Poster
An application of MNN trained by MEKA for the position control of pneumatic cylinder
Junbo Song, Xiaoyian Bao and Yoshihisa Ishida
Keywords: multiple extended Kalman algorithm multilayer neural network pneumatic cylinder
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 476 Poster
Perturbation analysis of a class of neural networks
Anke Meyer-Base
Keywords: Perturbation analysis robustness stability associative memory artificial neural networks
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 417 Poster
Universal neural network controllers
Chu Kwong Chak, Gang Feng, Jian Ma, and Marimthu Palaniswami
Keywords: Neural network controller Stabilization
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 75 Poster
Neural spectral composition for function approximation
Andrea Pelagotti and Vincenzo Piuri
Keywords: Neural spectral composition function approximation minimal dimension
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 165 Poster
Modeling liquid phase oxygenation process using neural networks
Jiabao Zhu, Zhengzhi Han, Jin Xiao and Ming Rao
Keywords: liquid phase oxygenation process neural networks backpropagation
_____
ICNN97 Intelligent Estimation & Control
Session: ECP1 Paper Number: 442 Poster
A local connected neural oscillator network for sequential character segmentation
Hiroaki Kurokawa, Chun Ying Ho and Shinsaku Mori
Keywords: local connected neural oscillator network sequential character segmentation learning
ELECTRONICS & OPTICAL IMPLEMENTATIONS (Return to Top)
ICNN97 Electronics & Optical Implementations
Session: EO1A Paper Number: 584 Oral
An analog VLSI front-end for auditory feature analysis
Nagendra Kumar, Wolfgang Himmelbauer, Gert Cauwenberghs and Andreas G. Andreou
Keywords: analog VLSI auditory feature analysis TI-DIGITS database
_____
ICNN97 Electronics & Optical Implementations
Session: EO1B Paper Number: 377 Oral
Accurate analog VLSI model of calcium-dependent bursting neurons
A. Laflaquiere, S. Le Masson, G. Le Masson, and J. P. Dom
Keywords: VLSI Model neurophysiology biological model
_____
ICNN97 Electronics & Optical Implementations
Session: EO1C Paper Number: 232 Oral
Efficient VLSI implementation of a 3-layer threshold network
Jung H. Kim, Sung-Kwon Park and Youngnam Han
Keywords: VLSI threshold network Expand-and-truncate learning
_____
ICNN97 Electronics & Optical Implementations
Session: EO1D Paper Number: 555 Oral
Implementing resistive fuse with floating gate MOS transistors
H. Nagai, T. Sakai, T. Sawaji, T. Kunishima and T. Matsumoto
Keywords: resistive fuse floating gate MOS transistors weak string filter
_____
ICNN97 Electronics & Optical Implementations
Session: EO1E Paper Number: 78 Oral
Parallel architecture for vector quantization
Fabio Ancona, Stefano Rovetta and Rodolfo Zunino
Keywords: Parallel architecture vector quantization toroidal-mesh topology
_____
ICNN97 Electronics & Optical Implementations
Session: EO1F Paper Number: 166 Oral
Mappings of SOM and LVQ on the partial tree shape neurocomputer
Pasi Kolinummi, Timo Hamalainen and Kimmo Kaski
Keywords: SOM LVQ partial tree shape neurocomputer
_____
ICNN97 Electronics & Optical Implementations
Session: EO2A Paper Number: 90 Oral
ANNSyS: an analog neural network synthesis system
I. Bayraktaroglu, S. Ogrenci, G. Dundar, S. Balkir and E. Alpaydin
Keywords: analog neural network mixed signal implementation analog hardware
_____
ICNN97 Electronics & Optical Implementations
Session: EO2B Paper Number: 631 Oral
Analog hardware implementation of adaptive filter structures
Jui-Kuo Juan, John G. Harris and Jose C. Principe
Keywords: Analog hardware adaptive filter VLSI
_____
ICNN97 Electronics & Optical Implementations
Session: EO2C Paper Number: 253 Oral
VHDL-based design of biologically inspired pitch detection systems
S. C. Lim, A. R. Temple, S. Jones and R. Meddis
Keywords: VHDL pitch detection systems signal processing
_____
ICNN97 Electronics & Optical Implementations
Session: EO2D Paper Number: 534 Oral
Effects of analog multiplier offsets on on-chip learning
Y. K. Choi, K. H. Ahn and S. -Y. Lee
Keywords: analog multiplier on-chip learning backpropagation
_____
ICNN97 Electronics & Optical Implementations
Session: EO3A Paper Number: 280 Oral
On the Cost effectiveness of logarithmic arithmetic for back propagation training on SIMD Processors
Mark G. Arnold, Thomas A. Baily, Jerry J. Cupal, Mark D. Winkel
Keywords: Back propagation training SIMD Processor Cost effectiveness
_____
ICNN97 Electronics & Optical Implementations
Session: EO3B Paper Number: 458 Oral
Parallel implementation of backpropagation neural network on a heterogenous RING processor topology
Shou King Foo, P. Saratchandran and N. Sundararajan
Keywords: backpropagation heterogenous RING processor Parallel implementation
_____
ICNN97 Electronics & Optical Implementations
Session: EO3C Paper Number: 133 Oral
Penalty terms for fault tolerance
Peter J. Edwards and Alan F. Murray
Keywords: Penalty terms fault tolerance learning algorithm
_____
ICNN97 Electronics & Optical Implementations
Session: EO3D Paper Number: 346 Oral
Ising Model calculation using PDM neural network hardware: Boltzmann statistical mechanics embedded in the hardware
Moritoshi Yasunaga and Yuzo Hirai
Keywords: Pulse Density Modulating NN. Boltzmann Statistical mechanics
_____
ICNN97 Electronics & Optical Implementations
Session: EO3E Paper Number: 303 Oral
Spectral Noise-shaping in integrate-and fire neural network
Robert W. Adams
Keywords: Low-noise transmission Analog signals
_____
ICNN97 Electronics & Optical Implementations
Session: EO3F Paper Number: 343 Oral
Digital Implementation of discrete-time cellular neural networks with distributed arithmetic
Sungjun Park, Joonho Lim Soo-Ik Chae
Keywords: Cellular NN Digital implementation
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 609 Poster
Pulse density neural network system using simultaneous perturbation learning rule
Yutaka Maeda, Atsushi Nakazawa and Yakichi Kanata
Keywords: Pulse density neural network simultaneous perturbation learning rule backpropagation
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 453 Poster
VLSI architecture for analog bidirectional pulse-coupled neural networks
Yasuhiro Ota and Bogdan M. Wilamowski
Keywords: VLSI architecture analog bidirectional pulse-coupled neural net CMOS
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 646 Poster
A digital neuron realization for the random neural network model
Cuneyt Cerkez, Isik Aybay and Ugur Halici
Keywords: digital neuron random neural network routing module
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 258 Poster
Sensitivity analysis of an analog circuit model of Lamprey unit pattern generator
Elizabeth J. Brauer, Ranu Jung, Denise Wilson and James J. Abbas
Keywords: analog circuit Lamprey unit pattern generator locomotion
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 173 Poster
Memory based processor array for artificial neural networks
Youngsik Kim, Mi-Jung Noh, Tack-Don Han, Shin-Dug Kim and Sung-Bong Yang
Keywords: Memory based processor array artificial neural networks memory interface
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 162 Poster
On the implementation pf backpropagation on Alex AVX-2 parallel system
Hazem M. Abbas and Mohamed M. Bayoumi
Keywords: backpropagation Alex AVX-2 parallel system parallel architecture
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 147 Poster
A pipelined speculative SIMD architecture for SOM ANN
O. Hammami and D. Suzuki
Keywords: SIMD architecture pipelining SOM ANN
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 89 Poster
Improving the resolution of Lazzaro winner-take-all circuit
Barbaros Sekerkiran and Ugur Cilingiroglu
Keywords: Lazzaro winner-take-all circuit CMOS resolution
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 79 Poster
Hardware implementation of the neural gas
Fabio Ancona, Stefano Rovetta and Rodolfo Zunino
Keywords: neural gas vector quantization video compression
_____
ICNN97 Electronics & Optical Implementations
Session: EOP2 Paper Number: 276 Poster
Do we really need multiplier-based synapses for neuro-fuzzy classifiers ?
R. Dogaru and A. T. Murgan
Keywords: Multiplier based synapse Neuro-fuzzy classifiers
LEARNING & MEMORY (Return to Top)
ICNN97 Learning & Memory
Session: LM1A Paper Number: 169 Oral
Uniform approximation and gamma networks
Irwin W. Sandberg and Lilian Xu
Keywords: gamma network Uniform approximation nonlinear input-output maps
_____
ICNN97 Learning & Memory
Session: LM1B Paper Number: 419 Oral
Asymptotical analysis of modular neural network
Lin-Cheng Wang, Nasser M. Nasrabadi and Sandor Der
Keywords: modular neural network data representation asymptotical performance
_____
ICNN97 Learning & Memory
Session: LM1C Paper Number: 422 Oral
Recognition algorithm using evolutionary learning on the random neural networks
Jose Aguilar and Adriana Colmenares
Keywords: evolutionary learning random neural networks pattern recognition
_____
ICNN97 Learning & Memory
Session: LM1D Paper Number: 141 Oral
Dynamics of distance between patterns for higher order random neural networks
Hiromi Miyajima and Shuji Yatsuki
Keywords: hugher order random neural network dynamical properties dynamics of distance
_____
ICNN97 Learning & Memory
Session: LM1E Paper Number: 414 Oral
Principal components via cascades of block-layers
Francesco Palmieri and Michele Corvino
Keywords: principal components cascades of block-layers constarained connectivity
_____
ICNN97 Learning & Memory
Session: LM2A Paper Number: 383 Oral
Bayesian geometric theory of learning algorithms
Huaiyu Zhu
Keywords: bayesian geometric theory learning algorithms objective evaluation
_____
ICNN97 Learning & Memory
Session: LM2B Paper Number: 251 Oral
Note on effective number of parameters in nonlinear learning systems
Jianchang Mao and Anil Jain
Keywords: nonlinear learning system effective number of parameters feedforward neural network
_____
ICNN97 Learning & Memory
Session: LM2C Paper Number: 413 Oral
New bounds for correct generalization
D. Mattera and F. Palmieri
Keywords: correct generalization number of training examples neural network architecture
_____
ICNN97 Learning & Memory
Session: LM2D Paper Number: 48 Oral
D-Entropy minimization
Ryotaro Kamimura
Keywords: D-entropy information maximization Renyi entropy Shannon entropy
_____
ICNN97 Learning & Memory
Session: LM2E Paper Number: 438 Oral
Projection pursuit and the solvability condition applied to constructive learning
Fernando J. Von Zuben and Marcio L. de Andrade Netto
Keywords: projection pursuit solvability condition constructive learning
_____
ICNN97 Learning & Memory
Session: LM2F Paper Number: 569 Oral
The generalization capabilities of ARTMAP
Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy and Stephen J. Verzi
Keywords: generalization capability ARTMAP number of training examples
_____
ICNN97 Learning & Memory
Session: LM3A Paper Number: 167 Oral
Automatic learning rate optimization by higher-order derivatives
Xiao-Hu Yu and Li-Qun Xu
Keywords: learning rate optimization higher-order derivatives backpropagation learning
_____
ICNN97 Learning & Memory
Session: LM3B Paper Number: 406 Oral
Improved back propagation training algorithm using conic section functions
Tulay Yildirim and John S. Marsland
Keywords: back propagation conic section functions Radial basis funtion
_____
ICNN97 Learning & Memory
Session: LM3C Paper Number: 96 Oral
Comparing parameterless learning rate adaptation methods
M. Moreira and E. Fiesler
Keywords: parematerless learning rate backpropagation adaptive learning rate
_____
ICNN97 Learning & Memory
Session: LM3D Paper Number: 339 Oral
Optimal stopped training via algebraic on-line estimation of the expected test-set error
Joachim Utans
Keywords: optimal stopped training algebraic on-line estimation expected test-set error
_____
ICNN97 Learning & Memory
Session: LM3E Paper Number: 97 Oral
Weight evolution algorithm with dynamic offset range
S. C. Ng, S. H. Leung and A. Luk
Keywords: multi-layered neural network back propagation weight evolution
_____
ICNN97 Learning & Memory
Session: LM3F Paper Number: 400 Oral
Incorporating state space constraints into a neural network
Daryl H. Graf
Keywords: state space constraints continuous neural network manifold learning
_____
ICNN97 Learning & Memory
Session: LM4A Paper Number: 551 Oral
A structural learning algorithm for multi-layered neural networks
Manabu Kotani, Akihiro Kajiki and Kenzo Akazawa
Keywords: structural learning multi-layered neural network pruning algorithm
_____
ICNN97 Learning & Memory
Session: LM4B Paper Number: 618 Oral
An improved expand-and-truncate learning
A. Yamamoto and T. Saito
Keywords: expand-and-truncate learning binary-to-binary mapping number of hidden units
_____
ICNN97 Learning & Memory
Session: LM4C Paper Number: 336 Oral
a vector quantisation reduction method for the probabilistic neural network
Anthony Zaknich
Keywords: vector quantisation probabilistic neural network regression
_____
ICNN97 Learning & Memory
Session: LM5A Paper Number: 636 Oral
Robust adaptive identification of dynamic systems by neural networks
James Ting-Ho Lo
Keywords: dynamic systems adaptive identification on-line weight adjustment
_____
ICNN97 Learning & Memory
Session: LM5B Paper Number: 521 Oral
Fibre bundles and receptive neural fields
S. Puechmorel
Keywords: fiber bundles receptive neural fields membership function
_____
ICNN97 Learning & Memory
Session: LM5C Paper Number: 105 Oral
Fast binary cellular neural networks
Iztok Fajfar
Keywords: cellular neural network analog transient parameter optimization
_____
ICNN97 Learning & Memory
Session: LM5D Paper Number: 316 Oral
Associative memory of weakly connected oscillators
Frank Hoppensteadt and Eugene Izhikevich
Keywords: multiple andronov-hopf bifurcations weakly connected neural networks Cohen-Grossberg convergence limit cycle attractors
_____
ICNN97 Learning & Memory
Session: LM5E Paper Number: 372 Oral
Input-to-state (ISS) analysis for dynamic neural networks
Edgar N. Sanchez and Jose P. Perez
Keywords: neural network dynamics intelligent control stability ISS analysis
_____
ICNN97 Learning & Memory
Session: LMP2 Paper Number: 110 Poster
Simultaneous information maximization and minimization
Ryotaro Kamimura
Keywords: information maximization information minimization internal representation
_____
ICNN97 Learning & Memory
Session: LMP2 Paper Number: 535 Poster
Hybrid learning algorithm with low input-to-output mapping sensitivity for iterated time-series prediction
So-Young Jeong, Minho Lee and Soo-Young Lee
Keywords: hybrid learning input-to-output mapping sensitivity iterated time-series prediction
_____
ICNN97 Learning & Memory
Session: LMP2 Paper Number: 23 Poster
On viewing the transform performed by a hidden layer in a feedforward ANN as a complex mobius mapping
Adriana Dumitras and Vasile Lazarescu
Keywords: hidden layer feedforward network mobius mapping Hinton diagram
_____
ICNN97 Learning & Memory
Session: LMP2 Paper Number: 21 Poster
An upper bound on the node complexity of depth-2 multilayer perceptrons
Masahiko Arai
Keywords: node complexity multilayer perceptron hidden units
_____
ICNN97 Learning & Memory
Session: LMP2 Paper Number: 548 Poster
Improved sufficient convergence condition for the discrete-time cellular neural networks
Sungjun Park and Soo-Ik Chae
Keywords: convergence condition discrete-time cellular neural network positive semi-definite constraint
_____
ICNN97 Learning & Memory
Session: LMP2 Paper Number: 455 Poster
Beyond weights adaptation: a new neuron model with trainable activation function and its supervised learning
Youshou Wu, Mingsheng Zhao and Xiaoqing Ding
Keywords: weights adaptation trainable activation functions supervised learning
OPTIMIZATON & ASSOCIATIVE MEMORY (Return to Top)
ICNN97 Optimization & Associative Memory
Session: OA1A Paper Number: 4 Oral
Associative memory design via Perceptron learning
Derong Liu and Zanjun Lu
Keywords: Associative memories perceptron learning
_____
ICNN97 Optimization & Associative Memory
Session: OA1B Paper Number: 217 Oral
Two Simple strategies to improve bidirectional associative memory's performance: Unlearning and delta rule
Aluizio F. R. Araujo and Georves M. Haga
Keywords: Bidirectional associative memory Delta rule learning
_____
ICNN97 Optimization & Associative Memory
Session: OA1C Paper Number: 99 Oral
Effect of pruning small weights in correlation associative memories
Ravi Kothari, and Rohit Lotlikar
Keywords: Pruning Associative memory Correlation
_____
ICNN97 Optimization & Associative Memory
Session: OA1D Paper Number: 439 Oral
Decoupled-voting hamming associative memory networks
Paul B. Watta, Mohammed Akkal and MOhamad H. Hassoun
Keywords: Decoupled-voting hamming associative memory networks
_____
ICNN97 Optimization & Associative Memory
Session: OA1E Paper Number: 215 Oral
Temporal multidirectional associative memory: adaptable, Continuous, and self connected MAM
Aluizio F. R. Araujo and Marcelo Vieira
Keywords: Multidirectional associative memory Widraw-Hoff rule learning
_____
ICNN97 Optimization & Associative Memory
Session: OA1F Paper Number: 67 Oral
Overlapping decompositions in the design of associative memories
Mehmet Akar and M. Erol Sezer
Keywords: Associative memories overlapping decomposition
_____
ICNN97 Optimization & Associative Memory
Session: OA2A Paper Number: 514 Oral
GBAM: A general bidirectional memory model
Hongchi Shi, Yunxin Zhao, Xinhua Zhuang
Keywords: Bidirectional associative memory learning stability
_____
ICNN97 Optimization & Associative Memory
Session: OA2B Paper Number: 188 Oral
Chaotic Multidirectional Associative memory
Yuko Osana, Motonobu Hattori, Masafumi Hagwara
Keywords: Associative memory chaotic neurons
_____
ICNN97 Optimization & Associative Memory
Session: OA2C Paper Number: 557 Oral
Using Hysteresis to improve performance in synchronous networks
Tirunelveli Anand and Ali A. Minai
Keywords: Synchronous network Hysteresis Convergence
_____
ICNN97 Optimization & Associative Memory
Session: OA2D Paper Number: 524 Oral
Random attractors for initial memory codes
Akira Date
Keywords: Random coding Temporal relations: :Spatial structure
_____
ICNN97 Optimization & Associative Memory
Session: OA3A Paper Number: 138 Oral
A Generalized updating rule for modified Hopfield neural network
Yi Sun
Keywords: Hopfield Network Energy function Local Minimum
_____
ICNN97 Optimization & Associative Memory
Session: OA3B Paper Number: 454 Oral
Bipolar pattern association using a recurrent Winner take all network
John E. McInroy and Bogdan M. Wilamowski
Keywords: Bipolar pattern association recurrent neural network Winner take all network
_____
ICNN97 Optimization & Associative Memory
Session: OA3C Paper Number: 340 Oral
Recognition of multidimensional affine patterns using a constrained GA
G. Calafiore and B. Bona
Keywords: genetic algorithms pattern recognition data processing
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ICNN97 Optimization & Associative Memory
Session: OA3D Paper Number: 132 Oral
Suspiciousness of loading problems
P. Frasconi, M. Gori, S. Fanelli, and M. Protasi
Keywords: Learning Optimization Computational complexity gradient descent
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ICNN97 Optimization & Associative Memory
Session: OA4A Paper Number: 426 Oral
Application of neuro-based optimization algorithm to three dimensional cylindric puzzles
Hiroyuki Yamamoto, Takeshi Nakayama, Hiroshi Ninomiya and Hideki Asai
Keywords: neuro-based optimization three dimensional cylindric puzzles 2-dimensional tiling technique
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ICNN97 Optimization & Associative Memory
Session: OA4B Paper Number: 539 Oral
Primal-Target neural net heuristics for the hypergraph k-coloring problem
Dmitri Kaznachey, Arun Jagota, Sajal Das
Keywords: Hypergraph K-coloring Graph optimization
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ICNN97 Optimization & Associative Memory
Session: OA4C Paper Number: 101 Oral
Determination of parameters in relaxation-search neural networks for optimization problems
Gursel Serpen, David L. Livingston, and Azadeh Parvin
Keywords: Hopfield Network Optimization
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ICNN97 Optimization & Associative Memory
Session: OA4D Paper Number: 62 Oral
An evolutionary neural network algorithm for max cut problems
Nobuo Funabiki, Junji Kitamichi, and Seishi nishikawa
Keywords: Evolutionary neural network Max cut problems Graphs
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ICNN97 Optimization & Associative Memory
Session: OA4E Paper Number: 63 Oral
A binary neural network approach for one-shot Scheduling problems in multicast packet switching systems
Takayuki Baba, Nobuo Funabiki, Seishi Nishikawa
Keywords: Scheduling optimization binary neural network
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ICNN97 Optimization & Associative Memory
Session: OA4F Paper Number: 65 Oral
Arbitrary distance function estimation using discrete vector quantization
John Oommen, I. Kuban Altmel, Necati Aras
Keywords: Vector quantization automata learning Distance function
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ICNN97 Optimization & Associative Memory
Session: OA5A Paper Number: 556 Oral
Multiple-resolution divide and conquer for large-scale combinatorial optimization
Steven Noel and Harold Szu
Keywords: combinatorial optimization divide-and-conquer approach Clustering
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ICNN97 Optimization & Associative Memory
Session: OA5B Paper Number: 200 Oral
Parallel and Synchronous search for combinatory quasi-optimum solutions
Hideki Kakeya and Yoichi Okabe
Keywords: Optimization parallel processors
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ICNN97 Optimization & Associative Memory
Session: OA5C Paper Number: 64 Oral
A proposal of neuron mask in neural network algorithm for combinatorial optimization problems
Yoichi Takenaka, Nobuo Funabiki, Seishi Nishikawa
Keywords: Hopfield Neural network optimization
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ICNN97 Optimization & Associative Memory
Session: OA5D Paper Number: 15 Oral
A dual neural network for shortest-path routing
Jun Wang
Keywords: Shortest path Optimization recurrent neural networks
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ICNN97 Optimization & Associative Memory
Session: OA5E Paper Number: 238 Oral
Fault-tolerance in a Boltzmann machine
Camille C. Price, John B. Hanks and Jeffrey N. Stephens
Keywords: Fault-tolerance Boltzmann machine combinatorial optimization
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 338 Poster
selecting the toroidal self-organizing feature maps (TSOFM) best organized to object recognition
G. Andreu, A. Crespo and J. Valiente
Keywords: neural networks self-organizing feature maps border effects pattern recognition
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 324 Poster
Pulsed noise-based stochastic optimisation with the Hopfield model
Jacek Mandziuk
Keywords: Pulsed noise stochastic optimisation Hopfield model
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 441 Poster
ATM call admission control using sparse distributed memory
Hee-Yong Kwon
Keywords: ATM call admission control sparse distributed memory associative memory
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 201 Poster
Capacity Expansion and Concept formation in sequential associative memory
Hideki Kakeya and Yoichi Okabe
Keywords: Associative memory memory retrieval
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 503 Poster
High order ortogonal tensor networks: Informationcapacity and reliability
Alexander N. Gorban and Yeugenii M. Mirkes and Donald C. Wunsch II
Keywords: Information capacity estimation Orthogonal tensor
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 142 Poster
Associative ability of higher order neural networks
Shuji Yatsuki, Hiromi Miyajima
Keywords: Optimization Associative memory Memory capacity
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ICNN97 Optimization & Associative Memory
Session: OAP1 Paper Number: 424 Poster
a module neural network and its basic behaviors
Yoshimitsu Shoji and Hiroshi Inaba
Keywords: module neural network equilibrium solution
PATTERN RECOGNITION & IMAGE PROCESSING (Return to Top)
ICNN97 Pattern Recognition & Image Processing
Session: PR1A Paper Number: 611 Oral
accelerating back propagation in human face recognition
D.J. Evans, M.H. Ahmad Fadzil and Z. Zainuddin
Keywords: back propagation human face recognition convergence rate
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ICNN97 Pattern Recognition & Image Processing
Session: PR1B Paper Number: 374 Oral
Gender classification of human faces
Srinivas Gutta and Harry Wechsler
Keywords: human face classification gender FERET database
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ICNN97 Pattern Recognition & Image Processing
Session: PR1C Paper Number: 670 Oral
Hybrid approaches to frontal view face recognition using the neural network
Kang Sik Yoon, Young Kug Ham and Rae-Hong Park
Keywords: Hybrid approaches frontal view face recognition artificial neural network
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ICNN97 Pattern Recognition & Image Processing
Session: PR1D Paper Number: 69 Oral
Automatic facial feature extraction by applying genetic algorithms
Chun-Hung Lin and Ja-Ling Wu
Keywords: Feature extraction Genetic Algorithms Estimation region growing
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ICNN97 Pattern Recognition & Image Processing
Session: PR1E Paper Number: 239 Oral
A principal component based BDNN for face recognition
L. J. Chen and H. C. Fu
Keywords: principal component BDNN face recognition
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ICNN97 Pattern Recognition & Image Processing
Session: PR2A Paper Number: 296 Oral
Two-stage neural network for volume segmentation of medical images
Mohamed N. Ahmed and Aly A. Farag
Keywords: neural network volume segmentation medical images
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ICNN97 Pattern Recognition & Image Processing
Session: PR2B Paper Number: 236 Oral
An RBF based classifier for detection of microcalcifications in mammograms with outlier rejection capability
A. Hojjatoleslami, L. Sardo and J. Kittler
Keywords: RBF classifier outlier mammograms
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ICNN97 Pattern Recognition & Image Processing
Session: PR2C Paper Number: 598 Oral
Tumour detection with NMR spectroscopy: current state and future prospects for the application of neural networks
P. J. G. Lisboa, W. El-Deredy, N. M. Branston and A.R. Mehri-Dehnavi
Keywords: Tumour detection NMR spectroscopy artificial neural network
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ICNN97 Pattern Recognition & Image Processing
Session: PR2D Paper Number: 667 Oral
Recognition of handwritten digits using structural information
Sven Behnke, Marcus Pfister and Raul Rojas
Keywords: handwritten digit recognition structural information feature extraction
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ICNN97 Pattern Recognition & Image Processing
Session: PR2E Paper Number: 541 Oral
A neuro-fuzzy approach to recognize arabic handwritten characters
Adel M. Alimi
Keywords: neuro-fuzzy arabic handwritten characters cursive handwriting fuzzy membership
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ICNN97 Pattern Recognition & Image Processing
Session: PR2F Paper Number: 575 Oral
An empirical evaluation of bagging and boosting for artificial neural networks
David W. Opitz and Richard Maclin
Keywords: bagging boosting artificial neural networks
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ICNN97 Pattern Recognition & Image Processing
Session: PR3A Paper Number: 457 Oral
Evolutionary radial basis neural networks
Nicolaos B. Karayiannis and Weiqun Mi
Keywords: Evolutionary radial basis neural networks hybrid learning pattern classification
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ICNN97 Pattern Recognition & Image Processing
Session: PR3B Paper Number: 655 Oral
Determination of the number of components in Gaussian mixtures based on agglomerative clustering
Swarup Medasani and Raghu Krishnapuram
Keywords: Gaussian mixtures agglomerative clustering expectation maximization number of components
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ICNN97 Pattern Recognition & Image Processing
Session: PR3C Paper Number: 272 Oral
Soft-competitive-growing classifier with unsupervised fine-tuning
Jose L. Alba, Laura Docio, and Simon ruibal
Keywords: EM algorithm Paramter estimation Classification
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ICNN97 Pattern Recognition & Image Processing
Session: PR3D Paper Number: 77 Oral
Parallel Stochastic grammar induction
Stefan C. Kremer
Keywords: stichastic grammar induction recurrent netorks
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ICNN97 Pattern Recognition & Image Processing
Session: PR3E Paper Number: 61 Oral
Combining statistical pattern recognition approach with neural networks for recognition of large-set categories
Yoshimasa Kimura, Toru Wakahara, and Kazumi Odaka
Keywords: Statistical Pattern recognition Classification character recognition
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ICNN97 Pattern Recognition & Image Processing
Session: PR3F Paper Number: 354 Oral
Possibilistic fuzzy classification using neural networks
Hisao Ishibuchi and Manabu Nii
Keywords: pattern classification fuzzy classification possibility analysis reject option
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ICNN97 Pattern Recognition & Image Processing
Session: PR4A Paper Number: 111 Oral
Unsupervised Hierarchical fingerprint matching
A. Murat Ozbayoglu and Cihan H. Dagli
Keywords: Hierarchical classification model identification fingerprint matching unsupervised classification
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ICNN97 Pattern Recognition & Image Processing
Session: PR4B Paper Number: 312 Oral
Structural adaptation in neural networks with application to land mine detection
Sassan Sheedvash and Mahmood R. Azimi-Sadjadi
Keywords: Structural adaptation land mine detection orthogonal projection
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ICNN97 Pattern Recognition & Image Processing
Session: PR4C Paper Number: 291 Oral
A visual multi-expert neural classifier
Chester Ornes and Jack Sklansky
Keywords: multi-expert neural classifier automatic pattern classifier dimensionality reduction
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ICNN97 Pattern Recognition & Image Processing
Session: PR4D Paper Number: 562 Oral
Efficient indexing for object recognition using large neural networks
Mark R. Stevens, Charles W. Anderson and J. Ross Beveridge
Keywords: Efficient indexing object recognition template matching
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ICNN97 Pattern Recognition & Image Processing
Session: PR4E Paper Number: 626 Oral
ARTMAP-FD: Familiarity discrimination applied to radar target recognition
Gail A. Carpenter, Mark A. Rubin and William W. Streilein
Keywords: ARTMAP-FD Familiarity discrimination radar target recognition
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ICNN97 Pattern Recognition & Image Processing
Session: PR4F Paper Number: 622 Oral
Multiscale image factorization
John L. Johnson, Mary Lou Padgett and William A. Friday
Keywords: Multiscale image factorization hierarchical image decomposition noise
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ICNN97 Pattern Recognition & Image Processing
Session: PR5A Paper Number: 24 Oral
Soft classification by extension
Yoram Baram
Keywords: Soft classification relative separator domain of indecision
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ICNN97 Pattern Recognition & Image Processing
Session: PR5B Paper Number: 357 Oral
A scalable method for classifier knowledge reuse
K. Bollacker and J. Ghosh
Keywords: classifier learning maximum likelihood
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ICNN97 Pattern Recognition & Image Processing
Session: PR5C Paper Number: 461 Oral
some further studies on detection number of clusters
Yiu-Ming Cheung and Lei Xu
Keywords: number of clusters unsupervised learning clustering
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ICNN97 Pattern Recognition & Image Processing
Session: PR5D Paper Number: 325 Oral
Feature extraction from wavelet coefficients for pattern recognition tasks
Stefan Pittner and Sagar V. Kamarthi
Keywords: Feature extraction wavelet coefficients pattern recognition
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ICNN97 Pattern Recognition & Image Processing
Session: PR5E Paper Number: 411 Oral
Fuzzy image enhancement and associative feature matching in radiotherapy
G. Krell, H. R. Tizhoosh, T. Lilienblum, C. J. Moore and B. Michaelis
Keywords: Fuzzy image enhancement associative feature matching radiotherapy
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ICNN97 Pattern Recognition & Image Processing Session: PR5F Paper Number: 594 Oral
A fault tolerant chinese bank check recognition system based on SOM neural networks
Wang Song, Ma Feng and Xia Shaowei
Keywords: chinese bank check recognition system, SOM neural networks, Learning Vector Quantization
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ICNN97 Pattern Recognition & Image Processing
Session: PR6A Paper Number: 203 Oral
JPEG post processing image enhancement
Alex Lopez, Angel Torres and Shawn Hunt
Keywords: Image Enhancement Image filtering JPEG image compression
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ICNN97 Pattern Recognition & Image Processing
Session: PR6B Paper Number: 446 Oral
Improved dynamic bit allocation in image coding using a self-organizing map with learning vector quantization
Joao Souza Neto, Sebastiao do Nascimento and Francisco Assis de O. Nascimento
Keywords: dynamic bit allocation image coding self-organizing map learning vector quantization
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ICNN97 Pattern Recognition & Image Processing
Session: PR6C Paper Number: 472 Oral
A neural implementation of interpolation with a family of kernels
Frank M. Candocia and Jose C. Principe
Keywords: interpolation kernels SOFM
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ICNN97 Pattern Recognition & Image Processing
Session: PR6D Paper Number: 222 Oral
Automatic extraction of drainage networks from digital terrain elevation data: a local network approach
A. Fern, M. T. Musavi, and J. Miranda
Keywords: drainage networks digital terrain elevation local network
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ICNN97 Pattern Recognition & Image Processing
Session: PR6E Paper Number: 385 Oral
Low bit rate image compression with orthogonal projection pursuit neural networks
Hamid R. Rabiee, S. R. Safavian and R. L. Kashyap
Keywords: Low bit rate image compression orthogonal projection pursuit projection pursuit neural networks
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ICNN97 Pattern Recognition & Image Processing
Session: PR6F Paper Number: 47 Oral
A Neural network incorporating adaptive gabor filters for image texture classification
Keisuke Kameyama, Kenzou Mori, and Yukio Kosugi
Keywords: Gabor filters texture classification back propagation training
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ICNN97 Learning & Memory
Session: PRP2 Paper Number: 591 Poster
Resolutionable cellular neural networks
Mamoru Tanaka, Kenya Jin'no, Jun'ichi Miyata, Masaaki Imaizumi, Toshiaki Shingu and Hiroshi Inoue
Keywords: Resolutionable cellular neural networks spatio-temporal dynamics RGB color
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 2 Poster
Face recognition system based on neural networks and fuzzy logic
Ahmad Fadzil M. H. and Lim Cheah Choon
Keywords: Face recognition neural networks fuzzy logic
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 163 Poster
Competitive neural networks as adaptive algorithms for non-stationary clustering: experimental results on the color quantization of image sequences
A. I. Gonzalez and M. Grana
Keywords: Competitive neural networks non-stationary clustering color quantization
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 194 Poster
Evolutionary artificial neural networks for competitive learning
A.D. Brown and H. C. Card
Keywords: Evolutionary artificial neural networks competitive learning genetic algorithm
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 255 Poster
Identifying contact formations from force signals: A comparison of fuzzy and neural network classifiers
Marjorie Skubic, Shawn P. Castrianni, and Richard A. Volz
Keywords: Fuzzy logic Classification Membership function generation
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 125 Poster
Genetic algorithms for clustering, feature selection and classification
Lin Yu Tseng and Shiueng Bien Yang
Keywords: Genetic Algorithms Clustering Feature selection Classification
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 176 Poster
A knowledge-based approach for fault detection and isolation in analog circuits
Mohamed A. El-Gamal
Keywords: Fault detection rule based connectionist NN Fault isolation
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 198 Poster
Image retrieval System capable of learning the user's sensibility using neural networks
Yoshiteru Yageyama and Hideo Saito
Keywords: Image retreival Learning
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 335 Poster
Adapting the 2-class recursive deterministic perceptron neural network to m-classes
Mohamed Tajine, David Elizondo, Emile Fiesler and Jerzy Korczak
Keywords: 2-class recursive deterministic perceptron ne linear separability 2-valued RDP
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 671 Poster
Rough fuzzy set theoretic approach to evaluate the importance of input features in classification
Manish Sarkar and B. Yegnanarayana
Keywords: Rough fuzzy sets input features classification
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 464 Poster
An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts
Wing-kai Lam, Fai Yung and Lei Xu
Keywords: hard-cut EM algorithms soft-cut EM algorithms EM algorithm mixture of experts
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 242 Poster
Texture segmentation using gaussian markov random fields and LEGION
Erdogan Cesmeli and DeLiang Wang
Keywords: Texture segmentation gaussian markov random fields LEGION
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 50 Poster
Theoretical and experimental analyses of restoring degraded images based on contenues hopfield networks
Lei Wang and Yulong Mo
Keywords: image restoration Hopfield Neural Networks
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 421 Poster
A comparative study of layered neural networks on misclassification in pattern recognition
Kenichi Takahashi
Keywords: layered neural networks misclassification pattern recognition
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 554 Poster
Blind deconvolution by self-organization
Wen-Pin tai, Ruei-Sung Lin and Cheng-Yuan Liou
Keywords: Blind deconvolution self-organization blurred images
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 302 Poster
A neural network classifier for conflicting information environments
Pu Sun and Kenneth Marko
Keywords: neural network classifier conflicting information environments non-convergence phenomena
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 581 Poster
Non-stationary texture segmentation using an AM-FM model
M.S. Pattichis, C. Christodoulou, C.S. Pattichis and A.C. Bovik
Keywords: Non-stationary texture segmentation AM-FM model Learning vector quantization
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 486 Poster
Invariant pattern recognition of 2D images using neural networks and frequency-domain representation
Fernando Cesar C. De Castro, Jose Nelson Amaral and Paulo Roberto G. Franco
Keywords: Invariant pattern recognition 2D images frequency-domain representation
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 418 Poster
A committee of networks classifier with multi-resolution feature extraction for automatic target recognition
Lin-Cheng Wang, Sandor Der, and Nasser M. Nasrabadi
Keywords: Neural Net Classifier Automatic Target recognition FLIR imagery stacked generalization
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 331 Poster
Evolutionary CT image reconstruction from a small number of projections
Zensho Nakao, Midori Takashibu and Yen-Wei Chen
Keywords: CT image genetic algorithms gray level image reconstruction from projections
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 592 Poster
Fast inner-outer point evaluation in a generalization polytopic domain
Osvaldo Agamennoni and Pablo S. Mandolesi
Keywords: inner-outer point evaluation generalization polytopic domain interpolation
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ICNN97 Pattern Recognition & Image Processing
Session: PRP2 Paper Number: 287 Poster
Neural trees for image segmentation
Iren Valova and Yukio Kosugi
Keywords: Neural trees image segmentation magnetic resonance images
ROBOTICS AND MACHINE VISION (Return to Top)
ICNN97 Robotics and Machine Vision
Session: RV1A Paper Number: 207 Oral
Modified 3-D Hopfield neural network for gesture recognition
Chung-Lin Huang and Wen-Yi Huang
Keywords: 3-D Hopfield neural network gesture recognition Hausdorff distance measure
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ICNN97 Robotics and Machine Vision
Session: RV1B Paper Number: 244 Oral
Range image segmentation using an oscillatory network
Xiuwen Liu and DeLiang Wang
Keywords: Range image segmentation oscillatory network legion network
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ICNN97 Robotics and Machine Vision
Session: RV1C Paper Number: 532 Oral
An improved neural network for segmentating objects' boundaries in real images
Wee Kheng Leow and Seet Chong Lua
Keywords: Boundaries identification Boundary contour system Object segmentation
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ICNN97 Robotics and Machine Vision
Session: RV1D Paper Number: 180 Oral
Modelling active contours using neural networks isomorphic to boundaries
Y.V. Venkatesh and N. Rishikesh
Keywords: active contours deformable templates deformation of patterns isomorphism
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ICNN97 Robotics and Machine Vision
Session: RV1E Paper Number: 277 Oral
Evolutionary computation for figure-ground separation
Suchendra M. Bhandarkar and Xia Zeng
Keywords: Evolutionary computation figure-ground separation energy minimization
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ICNN97 Robotics and Machine Vision
Session: RV1F Paper Number: 517 Oral
Pixel Based 3D object recognition with bidirectional associative memory
I. Elsen, K. F. Kraiss, D. Krumbiegel
Keywords: 3D object recognition Bidirectional assocoative memory
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ICNN97 Robotics and Machine Vision
Session: RV2A Paper Number: 547 Oral
Trajectory control of robotic manipulators using chaotic neural networks
Sang-Hee Kim, Cahng-Wha Jang, Chang-Hyun Chai and Han-Go Choi
Keywords: trajectory control robotic manipulators chaotic neural networks
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ICNN97 Robotics and Machine Vision
Session: RV2B Paper Number: 317 Oral
a partially recurrent gating network approach to learning action selection by reinforcement
R.M. Rylatt, C.A. Czarnecki and T.W. Routen
Keywords: partially recurrent gating network action selection reinforcement
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ICNN97 Robotics and Machine Vision
Session: RV2C Paper Number: 538 Oral
Adaptive learning with the growing competitive linear local mapping network for robotic hand-eye coordination
Andrei Cimponeriu and Julien Gresser
Keywords: Linear local mapping Learning Kohonen Map
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ICNN97 Robotics and Machine Vision
Session: RV2D Paper Number: 409 Oral
Self-organizing geometric certainty maps: A compact and multifunctional approach to map building, place recognition and motion planning
J. A. Janet, M. W. White, J. C. Sutton, III and W. E. Snyder
Keywords: Sel-organizing Kohonen Neural net Hyperellipsoidal clustering self localization Kolmogorov-Smirnov Test
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ICNN97 Robotics and Machine Vision
Session: RV2E Paper Number: 369 Oral
Fuzzy logic and neural network based adaptive controller design
Ya-chen Hsu, Guanrong Chen and heider A. Malki
Keywords: Fuzzy logic neural network adaptive controller design
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ICNN97 Robotics and Machine Vision
Session: RV2F Paper Number: 540 Oral
recurrent neural network with self-adaptive GAs for biped locomotion robot
Yoichiro Komata
Keywords: recurrent neural network self-adaptive GAs biped locomotion robot
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ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 606 Poster
neural force/position control in cartesian space for a 6 DOF industrial robot: concept and first results
R. Maas, V. Zahn and R. Eckmiller
Keywords: force/position control cartesian space industrial robot
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ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 402 Poster
Robust telemanipulator control using a partitioned neural network architecture
Spyros G. Tzafestas, Platon A. Prokopiou and Costas S. Tzafestas
Keywords: Robust telemanipulator control partitioned neural network architecture control problem
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ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 375 Poster
Model-based path planning and tracking using neural networks for a robot manipulator
Sangbong Park and Cheol Hoon Park
Keywords: path planning path tracking neural networks robot manipulator
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ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 621 Poster
Reinforcement learning when visual sensory signals are directly given as inputs
Katsunari Shibata and Yoichi Okabe
Keywords: Reinforcement learning visual sensory signals neural network
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ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 274 Poster
neural control of artificial six-legged terrestrial locomotion on rough terrain
Alejandro Ramirez-Serrano
Keywords: neural control artificial six-legged terrestrial locomotion knowledge-based neural network
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 329 Poster
Reinforcement control via heuristic dynamic programming
K. Wendy Tang and Govardhan Srikant
Keywords: Reinforcement control heuristic dynamic programming adaptive critic
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 665 Poster
Fuzzy Q-learning for autonomous robot systems
Il Hong Suh, Jae-Hyun Kim and Frank Chung-Hoon Rhee
Keywords: Fuzzy Q-learning autonomous robot systems fuzzy interpolation
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ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 640 Poster
Artificial neural networks and the simulation of human movements in CAD environments
M. Costa, P. Crispino, A. Hanomolo and E. Pasero
Keywords: Artificial neural networks simulation of human movements CAD
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 511 Poster
Image estimation and compensation based on correspondence Technique
Y. H. Kuo, M. F. Horng
Keywords: motion estimation motion compensation Correspondence Hopfield network
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 130 Poster
New neural network for adaptive control of robot manipulators
Sahin Yilidirim
Keywords: neural network adaptive control robot manipulator
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 122 Poster
Neurofuzzy agents and neurofuzzy laws for autonomous machine learning and control
Wen-Ran Zhang
Keywords: Neurofuzzy agents neurofuzzy laws autonomous machine learning
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 624 Poster
A neural network framework for low-level representation and processing in computer vision
Richard Lepage and Denis Poussart
Keywords: neural network low-level representation and processing computer vision
_____
ICNN97 Robotics and Machine Vision
Session: RVP1 Paper Number: 59 Poster
A neural network for the trajectory control of robotic manipulators with uncertainties
Boo Hee Nam, Sang Jae Lee and Seok Won Lee
Keywords: nonlinearity uncertainty computed torque method neural network
SUPERVISED / UNSUPERVISED LEARNING (Return to Top)
ICNN97 Supervised / Unsupervised Learning
Session: SU1A Paper Number: 477 Oral
Global stability analysis of a nonlinear principal component analysis neural network
Anke Meyer-Base
Keywords: Global stability nonlinear principal component analysis neural Hebbian rule
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ICNN97 Supervised / Unsupervised Learning
Session: SU1B Paper Number: 491 Oral
Generalized independent component analysis through unsupervised learning with emergent Bussgang properties
Mark Girolami and Colin Fyfe
Keywords: unsupervised learning exploratory projection pursuit generalized independent component analysis latent probability density functions
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU1C Paper Number: 602 Oral
An incremental unsupervised learning scheme for function approximation
Christian-A. Bohn
Keywords: unsupervised learning function approximation supervised growing cell structures
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ICNN97 Supervised / Unsupervised Learning
Session: SU1D Paper Number: 191 Oral
Convergence study of principal Component Analysis Algorithms
Chanchal Chatterjee and Vwani P. Roychowdhury
Keywords: Principal component analysis convergence stochastic approximation
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU1E Paper Number: 448 Oral
On the importance of sorting in 'neural gas' training of vector quantizers
Fabio Ancona, Sandro Ridella, Stefano Rovetta and Rodolfo Zunino
Keywords: neural gas model vector quantization sorting
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU2A Paper Number: 34 Oral
A Novel Algorithm to Configure RBF Networks
Insoo Sohn and Nirwan Ansari
Keywords: RBF networks clustering scatter matrices
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU2B Paper Number: 456 Oral
Gradient descent learning of radial basis neural networks
Nicolaos B. Karayiannis
Keywords: gradient descent Radial Basis Function neural network supervised learning
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU2C Paper Number: 460 Oral
Maximum equalization by entropy maximization and mixture of cumulative distribution functions
Lei Xu, Chi Chiu Cheung, Howard Hua Yang and Shun-ichi Amari
Keywords: Maximum equalization entropy maximization mixture of cumulative distribution functions INFORMAX
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU2D Paper Number: 468 Oral
Dynamics of structural learning with an adaptive forgetting rate
Damon A. Miller and Jacek M. Zurada
Keywords: structural learning FEEDFORWARD NEURAL NETWORK REGULARIZATION forgetting rate
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU2E Paper Number: 286 Oral
MDL Regularizer: A new regularizer based on the MDL principle
Kazumi Saito and Ryohei Nakano
Keywords: regularization Minimum Description Length maximum likelihood weight vector regression
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU2F Paper Number: 607 Oral
Additional learning and forgetting for pattern classification
Hirotaka Nakayama and Masahiko Yoshida
Keywords: patytern classification RBF back propagation
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU3A Paper Number: 612 Oral
Learning performance measures for MLP networks
Peter Geczy and Shiro Usui
Keywords: performance measures MLP networks training
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ICNN97 Supervised / Unsupervised Learning
Session: SU3B Paper Number: 168 Oral
On the structure of the Hessian Matrix in Feedforward networks and Second Derivative Methods
Jorg Wille
Keywords: backpropagation learning feedforward networks adaptive first derivative algorithm
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ICNN97 Supervised / Unsupervised Learning
Session: SU3C Paper Number: 196 Oral
Generalization of the cross-Entropy Error Function to Improve the Error Backpropagation Algorithm
Sang-Hoon Oh
Keywords: cross-entropy error function error backpropagation algorithm handwritten digit recognition
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ICNN97 Supervised / Unsupervised Learning
Session: SU3D Paper Number: 613 Oral
Effects of structural adjustments on the estimate of spectral radius of error matrices
Peter Geczy and Shiro Usui
Keywords: spectral radius of error matrices MLP networks structural adjustments
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ICNN97 Learning & Memory
Session: SU3E Paper Number: 109 Oral
Radial Basis Function networks for autonomous agent control
Ralf Salomon
Keywords: radial basis function network autonomous agent control incremental learning
_____
ICNN97 Supervised / Unsupervised Learning
Session: SU4A Paper Number: 479 Oral
A new local linearized least squares algorithm for training feedforward neural networks
Octavian Stan and Edward W. Kamen
Keywords: feedforward neural networks local linearized least squares global extended Kalman filter
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ICNN97 Supervised / Unsupervised Learning
Session: SU4B Paper Number: 583 Oral
Extensions and enhancements of decoupled extended Kalman filter training
G. V. Puskorius and L. A. Feldkamp
Keywords: Decoupled extended Kalman filter cost functions pattern classification relative entropy
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ICNN97 Supervised / Unsupervised Learning
Session: SU4C Paper Number: 600 Oral
Signal-flow-graph derivation of on-line gradient learning algorithms
P. Campolucci, A. Marchegiani, A. Uncini and F. Piazza
Keywords: signal-flow-graph on line gradient learning cost function feedforward network
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ICNN97 Supervised / Unsupervised Learning
Session: SU4D Paper Number: 425 Oral
A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks
Chi-Tat Leung and Tommy W.S. Chow
Keywords: backpropagation global search least squares nonlinear function approximation
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ICNN97 Supervised / Unsupervised Learning
Session: SU4E Paper Number: 187 Oral
The Effects of Quantization on the Backpropagation Learning
Kazushi Ikeda, Akihiro Suzuki and Kenji Nakayama
Keywords: parameter quantization backpropagation learning learning coefficient
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ICNN97 Supervised / Unsupervised Learning
Session: SU4F Paper Number: 226 Oral
A construction method of feedforward neural network for selecting effective hidden nodes
Hui Su, Bin Zhao and Shaowei Xia
Keywords: Construction method for selecting effective h feedforward neural network Generalization ability
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ICNN97 Supervised / Unsupervised Learning
Session: SU5A Paper Number: 115 Oral
Robust Training Algorithm for a Perceptron Neuron
Q. Song
Keywords: nonlinear perceptron bounded disturbance robust classifier dead zone projection algorithm
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ICNN97 Supervised / Unsupervised Learning
Session: SU5B Paper Number: 148 Oral
Synaptic Delay Based Artificial Neural Networks and Discrete Time Backpropagation Applied to QRS Complex Detection
R.J. Duro and J. Santos
Keywords: back propagation algorithm discrete time feedforward networks internal time delays
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ICNN97 Supervised / Unsupervised Learning
Session: SU5C Paper Number: 651 Oral
A geometric learning algorithm for elementary perceptron and its convergence analysis
Seiji Miyoshi and Kenji Nakayama
Keywords: geometric learning Affine projection algorithm convergence adaptive filters
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ICNN97 Supervised / Unsupervised Learning
Session: SU5D Paper Number: 320 Oral
Superior training of artificial neural networks using weight-space partitionning
Hoshin V. Gupta, Kuo-Lin Hsu and Soroosh Sorooshian
Keywords: batch training feedforward neural network multi-start downhill simplex conditional least squares
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ICNN97 Supervised / Unsupervised Learning
Session: SU5E Paper Number: 628 Oral
MUPStart - A constructive neural network learning algorithm for multi-category pattern classification
R. G. Parekh, J. Yang and V. Honavar
Keywords: constructive learning multi-category pattern classification upstart algorithm
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ICNN97 Supervised / Unsupervised Learning
Session: SU5F Paper Number: 574 Oral
Gauss-Newton approximation to Bayesian Learning
F. Dan Foresee and Martin T. Hagan
Keywords: Gauss-Newton approximation Bayesian regularization feedforward neural network
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ICNN97 Supervised / Unsupervised Learning
Session: SU6A Paper Number: 145 Oral
The Weighted EM Algorithm and Block Monitoring
Yasuo Matsuyama
Keywords: EM algoritm weighted EM algorithm generalized divergence
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ICNN97 Supervised / Unsupervised Learning
Session: SU6B Paper Number: 462 Oral
From Bayesian-Kullback Ying-Yang Learning to Bayesian Ying-Yang system: New advances
Lei Xu
Keywords: Bayesian-Kullback Ying-Yang Learning Bayesian Ying-Yang system principal component analysis
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ICNN97 Supervised / Unsupervised Learning
Session: SU6C Paper Number: 129 Oral
D-Entropy Controller for Interpretation and Generalization
Ryotaro Kamimura
Keywords: D-Entropy generalization internal representation
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ICNN97 Supervised / Unsupervised Learning
Session: SU6D Paper Number: 652 Oral
Avoiding weight-illgrowth: Cascade correlation algorithm with local regularization
Qun Xu and Kenji Nakayama
Keywords: cascade correlation zigzag output mapping weight-illgrowth regression
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ICNN97 Supervised / Unsupervised Learning
Session: SU6E Paper Number: 629 Oral
Pruning strategies for constructive neural network learning algorithms
R. G. Parekh, J. Yang and V. Honavar
Keywords: constructive learning pruning strategies generalization
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ICNN97 Supervised / Unsupervised Learning
Session: SU6F Paper Number: 92 Oral
Self-Regulation of Model Order in Feedforward Neural Networks
Ravi Kothari and Kwabena Agyepong
Keywords: feedforward neural networks number of hidden layers model order
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 156 Poster
Properties of learning of a fuzzy ART Variant
Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, and George Bebis
Keywords: fuzzy ART algorithm choice parameter clustering
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 157 Poster
A novel Fuzzy Based Algorithm for Radial Basis Function Neural Network
M.V.C. Rao and A.V. Kishore
Keywords: LMS algorithm RBF neural networks nonlinear system identification
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 160 Poster
Experiments with Learning Rules for a Single Neuron
Mitra Basu
Keywords: perceptron convergence non-linear methods linearly non-separable data
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 55 Poster
Training of supervised neural networks via a nonlinear primal-dual interior-point method
Theodore B. Trafalis, Nicolas P. Couellan and Sebastien C. Bertrand
Keywords: feedforward supervised neural networks primal-dual interior-point method nonlinear programming approximation
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 199 Poster
Blind separation of binary sources with less sensors than sources
Petteri Pajunen
Keywords: statistical signal processing unsupervised neural learning source separation constrained competitive learning
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 504 Poster
Back-propagation of accuracy
Masha Yu. Senashova, Alexander N. Gorban and Donald C. Wunsch II
Keywords: back propagation accuracy
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 247 Poster
Selection of the convergence coefficient using automata learning rule
N.O. Ezzati and K. Faez
Keywords: convergence coefficient stochastic automata learning back propagation learning nonlinear function approximation
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 265 Poster
A position paper on statistical inference techniques which intregrate neural network and bayesian network models
William H. Hsu
Keywords: Statistical inference bayesian neural network Gibbs sampler Markov chain Monte Carlo methods
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 393 Poster
Develpment of a neural network algorithm for unsupervised competitive learning
Dong C. Park
Keywords: unsupervised competitive learning clustering K-Means image compression
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 404 Poster
Difficulty in learning vs. network size
Goutam Chakraborty and Shoichi Noguchi
Keywords: Representation capability generalization difficulty in learning
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ICNN97 Supervised / Unsupervised Learning
Session: SUP2 Paper Number: 208 Poster
Multiple categorization using fuzzy ART
Pierre Lavoie, Jean-Francois Crespo and Yvon Savaria
Keywords: Fuzzy ART internal competition tuning parameter
SPEECH PROCESSING, TIME SERIES & FILTERING (Return to Top)
ICNN97 Speech Processing, Time Series & Filtering
Session: TS1A Paper Number: 559 Oral
A hierarchical Bayes approach to nonlinear time series prediction with neural nets
T. Matsumoto, H. Hamagishi and Y. Chonan
Keywords: hierarchical Bayes nonlinear time series prediction neural networks
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS1B Paper Number: 467 Oral
Sequential network construction for time series prediction
Tomasz J. Cholewo and Jacek M. Zurada
Keywords: Time series prediction Nonlinear Cross Validation Sequential network
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS1C Paper Number: 356 Oral
Markov Gated Experts for time series analysis beyond regression
Shanming Shi and Andreas S. Weigend
Keywords: Time series Regression Markovian architecture
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS1D Paper Number: 650 Oral
Improving the accuracy of financial time series prediction using ensemble networks and high order statistical features
Roy Schwarzel and Bruce Rosen
Keywords: time series analysis ensemble networks higher order statistics backpropagation
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS1E Paper Number: 3 Oral
Neural networks based traffic prediction for cell discarding policy
Hsiou-Ping Lin and Yen-Chieh Ouyang
Keywords: Neural networks traffic prediction cell discarding policy
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS2A Paper Number: 184 Oral
A neural network solver for basic pursuit and its application to time-frequency analysis of biomedical signals
Z.S. Wang, Y.S. Xia, W.H. Li, Z. Y. He and J. D.Z. Chen
Keywords: neural network basic pursuit time-frequency analysis of biomedical signals
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS2B Paper Number: 348 Oral
Broadband noise cancellation using a functional link ANN based nonlinear filter
G. Panda and T. Chatterjee
Keywords: Broadband noise cancellation functional link ANN nonlinear filter
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS2C Paper Number: 399 Oral
Estimation of unmeasured inputs using recurrent neural networks and the extended kalman filter
Ressom Habtom and Lothar Litz
Keywords: Recurrent neural networks Kalman Filter estimation
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS2D Paper Number: 471 Oral
Adaptive target detection in UWB images using recurrent networks
Li-Kang Yen, Jose C. Principe, john Fisher III
Keywords: Target detection Recurrent networks UWB images SAR images
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS2E Paper Number: 480 Oral
Multiple target tracking using recurrent neural networks
Gilles P. Mauroy, Edward W. Kamen
Keywords: Multiple target tracking Kalman filter Set estimation recurrent Neural network
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS2F Paper Number: 605 Oral
Performance of two neural receiver structures in the presence of co-channel interference
Kimmo Raivio, Ari Hamalainen, Jukka Henriksson and Olli Simula
Keywords: neural receiver structures co-channel interference self-organizing map RBF
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS3A Paper Number: 25 Oral
Speaker verification and identification using gamma neural networks
Chuan Wang, Dongxin Xu and Jose C. Principe
Keywords: Speaker verification Speaker identification gamma neural networks
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS3B Paper Number: 586 Oral
Context modeling in a hybrid HMM neural net speech recognition system
Horacio Franco, Mitch Weintraub and Michael Cohen
Keywords: Context modeling hybrid HMM neural net speech recognition
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS3C Paper Number: 558 Oral
Parallel neural networks for speech recognition
Byoung Jik Lee
Keywords: Parallel neural networks speech recognition confidence machine learning
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS3D Paper Number: 366 Oral
Text-independent speaker identification using a hybrid neural network and conformity approach
Atanas Ouzounov
Keywords: Kohonen Map speaker identification hybrid Network
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS3E Paper Number: 577 Oral
Speaker identification based on a modified Kohonen network
Karina Vieira, Bogdan Wilamowski and Robert Kubichek
Keywords: Speaker identification modified Kohonen network human information processing
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS3F Paper Number: 397 Oral
Continuous Speech recognition with neural networks and stationary-transitional acoustic Units
Roberto Gemello, Darion Albesano, Franco Mana
Keywords: Markov model Speech recognition stationary-Transitional Acoustic units
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS4A Paper Number: 515 Oral
An efficient stock market forecasting model using neural networks
Amir Atiya, Noha Talaat and Samir Shaheen
Keywords: stock market forecasting neural networks financial markets
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS4B Paper Number: 333 Oral
Prediction of system marginal price in the UK power pool using neural networks
A Wang and B Ramsay
Keywords: system marginal price UK power pool neural networks
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS4C Paper Number: 301 Oral
Application of artificial neural networks in sales forcasting
Devil H.F. Yip, E.L. Hines and William W.H. Yu
Keywords: sales forcasting artificial neural networks backpropagation genetic algorithms
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS4D Paper Number: 171 Oral
Sales forecasting using neural networks
Frank M. Thiesing and Oliver Vornberger
Keywords: Sales forecasting neural networks backpropagation
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS5A Paper Number: 259 Oral
Blind source separation of real world signals
Te-Won Lee and Reinhold Orglmeister
Keywords: Blind source separation real world signals FIR polynomial filter
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS5B Paper Number: 565 Oral
Dual cascade networks for blind signal extraction
Andrzej Cichocki, Ruck Thawonmas and Shun-ichi Amari
Keywords: Dual cascade networks blind signal extraction linear mixture
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS5C Paper Number: 566 Oral
Information back-propagation for blind separation of sources from non-linear mixture
Howard H. Yang, Shun-ichi Amari and Andrzej Cichocki
Keywords: Information back-propagation blind separation of sources non-linear mixture
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS5D Paper Number: 513 Oral
Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach
Juha Karhunen and Petteri Pajunen
Keywords: Blind source separation Blind source tracking nonlinear PCA criterion least-squares
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS5E Paper Number: 342 Oral
Single-sensor active noise cancellation using recurrent neural network predictors
Kyungmin Na and Soo-Ik Chae
Keywords: Single-sensor active noise cancellation recurrent neural network predictors
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS5F Paper Number: 490 Oral
elimination of multiple reflections in marine seismograms using neural networks
Robert Essenreiter and Martin Karrenbach
Keywords: marine seismograms neural networks deconvolution
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS6A Paper Number: 481 Oral
Adaptive fuzzy filtering for audio applications using neuro-fuzzy modelization
Maddalena Di Giura, Nadia Serina, and Gianguido Rizzotto
Keywords: Fuzzy filtering modelization denoising
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS6B Paper Number: 37 Oral
A novel algorithm for wideband DOA estimates based on neural networks
Zhong Ding Lei, Xiu Kun Huang and Shu Jing Zhang
Keywords: wideband DOA estimates neural networks coherent signal subspace method
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS6C Paper Number: 561 Oral
Neural speech enhancement using dual extended Kalman filtering
Alex T. Nelson and Eric Wan
Keywords: Neural speech enhancement dual extended Kalman filtering cellular communications
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS6D Paper Number: 560 Oral
Combining fossil and sunspot data: committee predictions
Eric Wan
Keywords: fossil data sunspot data committee predictions
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS6E Paper Number: 637 Oral
Overcoming recurrent neural networks' compactness limitation for neurofiltering
James Ting-Ho Lo and Lei Yu
Keywords: recurrent neural networks compactness neurofiltering
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ICNN97 Speech Processing, Time Series & Filtering
Session: TS6F Paper Number: 642 Oral
RBF neural network, basis functions and genetic algorithms
Eric P. Maillard and Didier Gueriot
Keywords: RBF neural network basis functions genetic algorithms
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 463 Poster
Separation of two independent sources by the information-theoretic approach with cubic nonlinearity
Chi Chiu Cheung and Lei Xu
Keywords: source separation cubic nonlinearity Independent component analysis
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 474 Poster
Financial prediction using higher order trigonometric polynomial neural network group model
Jing Chun Zhang and Ming Zhang
Keywords: Financial prediction Trigonometric polynomial NN.
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 415 Poster
neural networks for periodicity analysis of unevenly spaced data
M. Rasile, L. Milano, R. Tagliaferri and G. Longo
Keywords: periodicity analysis time series
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 310 Poster
Signal representation using adaptive wavelet-net
Chun-Ta Chen, Mahmood R. Azimi-Sadjadi and Chunhua Yuan
Keywords: Signal representation adaptive wavelet-net wavelet transform
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 294 Poster
A perceptron-like online algorithm for tracking the median
Tom Bylander and Bruce Rosen
Keywords: perceptron median series
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 266 Poster
Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts
A C McCormick and A K Nandi
Keywords: Neural network autoregressive modeling vibrations for condition monitoring of rotati
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 666 Poster
Robust adaptive neurofilters with or without on-line weight adjustment
James Ting-Ho Lo
Keywords: Robust adaptive neurofilters on-line weight adjustment risk-sensitive criteria
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 620 Poster
Prediction of chaos and bifurcation: an asymmetric radial basis function approach
Hiroyuki Shibayama and Toshimichi Saito
Keywords: Prediction chaos bifurcation asymmetric radial basis function
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 52 Poster
Neural prediction of missile dynamics during hardware-in-the-loop captive-carry experiments
Charles W. Gill and Phillip E. Pace
Keywords: Neural prediction missile dynamics hardware-in-the-loop captive-carry experiment
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 57 Poster
Improved option pricing using bootstrap methods
P.R. Lajbcygier and J.T. Connor
Keywords: option pricing bootstrap methods hybrid neural network
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 70 Poster
A learning algorithm for modified recurrent neural networks
C.H. Chen and Liwen Yu
Keywords: learning algorithm modified recurrent neural networks nonstationary time series
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 134 Poster
Prediction of onset of respiratory disorder in neonates
Emma Braithwaite, Jimmy Dripps and Alan F. Murray
Keywords: Prediction respiratory disorder neonates
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ICNN97 Speech Processing, Time Series & Filtering
Session: TSP1 Paper Number: 427 Poster
Minor Component analysis with implementation to blind 2-channel equalization
Jie Luo and Xieting Ling
Keywords: Minor component analysis mobile communication equalizing
SPECIAL SESSIONS
ADAPTIVE CRITIC DESIGNS (Return to Top)
ICNN97 Special Session on Adaptive Critic Designs
Session: SS1A Paper Number: 709 Oral
Primitive adaptive critics
Danil Prokhorov and Lee A. Feldkamp
Keywords: adaptive critics recurrent neural networks feedback controllers
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ICNN97 Special Session on Adaptive Critic Designs
Session: SS1B Paper Number: 710 Oral
Unified formulation for training recurrent networks with derivative adaptive critics
L. A. Feldkamp, G. V. Puskorius and D. V. Prokhorov
Keywords: training recurrent networks derivative adaptive critics
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ICNN97 Special Session on Adaptive Critic Designs
Session: SS1C Paper Number: 708 Oral
Asymptotic dynamic programming: Preliminary concepts and results
R. Saeks, C. Cox and A. Maren
Keywords: Asymptotic dynamic programming Adaptive critic nonlinear dynamical systems
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ICNN97 Special Session on Adaptive Critic Designs
Session: SS1D Paper Number: 707 Oral
The need for improved reinforcement learning techniques in intelligent agents
Donald C. Wunsch II
Keywords: reinforcement learning intelligent agents neural networks
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ICNN97 Special Session on Adaptive Critic Designs
Session: SS1E Paper Number: 706 Oral
Immunized adaptive critics
K. Krishna Kumar and J. Neidhoefer
Keywords: Adaptive critic Immunized computational systems intelligent control
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ICNN97 Special Session on Adaptive Critic Designs
Session: SS1F Paper Number: 705 Oral
Adaptive critic based neurocontroller for autolanding of aircrafts with varying glideslopes
Gaurav Saini and S.N. Balakrishnan
Keywords: neurocontroller autolanding of aircrafts varying glideslopes Adaptive critic
VISUAL SYSTEM MODELS & PROSTHESES (Return to Top)
ICNN97 Visual System Models & Prostheses
Session: SS2.1A Paper Number: 732 Oral
Top-down and bottom-up image processing
Lawrence W. Stark and Claudio Privitera
Keywords: Top-down image processing bottom-up image processing scanpath theory
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ICNN97 Visual System Models & Prostheses
Session: SS2.1B Paper Number: 731 Oral
Introducing visual latencies into spin-lattice models for image segmentation: a neuromorphic approach to a computer vision problem
Ralf Opara and Florentin Worgotter
Keywords: visual latencies spin-lattice models image segmentation computer vision
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ICNN97 Visual System Models & Prostheses
Session: SS2.1C Paper Number: 730 Oral
Artificial retina chips
Kazuo Kyuma and Yasunari Miyake
Keywords: Artificial retina chips interactive games
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ICNN97 Visual System Models & Prostheses
Session: SS2.1D Paper Number: 729 Oral
Physiological engineering model of the outer retina
Shiro Usui, Yoshimi Kamiyama, Toshihiko Ogura, Akito Ishihara and Tomoya Hamada
Keywords: Physiological engineering outer retina ionic current
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ICNN97 Visual System Models & Prostheses
Session: SS2.2A Paper Number: 735 Oral
Dialog concepts for learning retina encoders
R. Eckmiller, M. Becker and R. Hunermann
Keywords: Dialog concepts retina encoders blindness retina stimulator
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ICNN97 Visual System Models & Prostheses
Session: SS2.2B Paper Number: 733 Oral
The physiological connection: stimulating the human and amphibian retina
Gislin Dagnelie, Mark Humayun, Robert Greenberg and Eugene de Juan Jr.
Keywords: human retina amphibian retina blindness visual impairment
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ICNN97 Visual System Models & Prostheses
Session: SS2.2C Paper Number: 734 Oral
The cellular nonlinear network as a retinal camera for visual prosthesis
Frank S. Werblin, Adam Jacobs and Tama Roska
Keywords: cellular nonlinear network retinal camera visual prosthesis
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ICNN97 Visual System Models & Prostheses
Session: SS2.2D Paper Number: 728 Oral
Color and intensity information representations by a network of turtle retinal ganglion cells
Richard A. Normann, Josef Ammermuller, Shy Shoham and Almut Branner
Keywords: Color and intensity information representatio neural network turtle retinal ganglion cells
NEURO-FUZZY INTEGRATION (Return to Top)
ICNN'97 Neuro-fuzzy Integration
Session: SS3A Paper Number: 747 Oral
A fuzzy neural hybrid system modeling
I. Burhan Turksen
Keywords: fuzzy neural integration unsupervised learning fuzzy sets fuzzy clustering
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ICNN'97 Neuro-fuzzy Integration
Session: SS3B Paper Number: 714 Oral
Fuzzy inference networks: an introduction
W. Pedrycz and M. H. Smith
Keywords: Fuzzy inference networks fuzzy sets neural networks fuzzy inference
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ICNN'97 Neuro-fuzzy Integration
Session: SS3C Paper Number: 711 Oral
Neural nets can be universal approximators for fuzzy functions
J. J. Buckley and Yoichi Hayashi
Keywords: Neural nets universal approximators fuzzy functions
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ICNN'97 Neuro-fuzzy Integration
Session: SS3D Paper Number: 713 Oral
Speaker recognition with a self-configuring neural network
Jie lei and Lawrence O. Hall
Keywords: Speaker recognition self-configuring neural network LBG clustering algorithm
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ICNN'97 Neuro-fuzzy Integration
Session: SS3E Paper Number: 761 Oral
Neural net approximations to solutions of systems of fuzzy linear equations
J.J. Buckley and Yoichi Hayashi
Keywords: fuzzy linear equations neural net approximations sign restrictions
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ICNN'97 Neuro-fuzzy Integration
Session: SS3F Paper Number: 712 Oral
On tool wear estimation through neural networks
Guenter Luetzig, Manuel Sanchez-Castillo and Reza Langari
Keywords: intelligent monitoring sensor data fusion tool wear monitoring recurrent neural networks
LINGUISTIC RULE EXTRACTION (Return to Top)
ICNN97 Linguistic Rule Extraction
Session: SS4A Paper Number: 719 Oral
A study in experimental evaluation of neural network and genetic algorithm techniques for knowledge acquisition in fuzzy classification systems
Ilona Jagielska, Chris Matthews and Tim Whitfort
Keywords: neural network genetic algorithm knowledge acquisition fuzzy classification systems
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ICNN97 Linguistic Rule Extraction
Session: SS4B Paper Number: 720 Oral
Acquisition of fuzzy rules using fuzzy neural networks with forgetting
Motohide Umano, Shiro Fukunaka, Itsuo Hatono and Hiroyuki Tamura
Keywords: fuzzy rule Acquisition fuzzy neural networks forgetting
_____
ICNN97 Linguistic Rule Extraction
Session: SS4C Paper Number: 718 Oral
Knowledge extraction from hierarchical fuzzy model obtained by fuzzy neural networks and genetic algorithm
T. Furuhashi, S. Matsushita, H. Tsutsui and Y. Uchikawa
Keywords: Knowledge extraction hierarchical fuzzy model fuzzy neural networks genetic algorithm
_____
ICNN97 Linguistic Rule Extraction
Session: SS4D Paper Number: 717 Oral
Fuzzy rule extraction, reasoning and rules adaptation in fuzzy neural networks
Nikola K. Kasabov
Keywords: Fuzzy rule extraction Fuzzy reasoning rules adaptation fuzzy neural networks
_____
ICNN97 Linguistic Rule Extraction
Session: SS4E Paper Number: 716 Oral
Extraction of crisp logical rules using constrained backpropagation networks
Wlodzilslaw Duch, Rafal Adamczak, and Krzysztof Grabczewski
Keywords: crisp logical rules constrained backpropagation networks rule extraction
_____
ICNN97 Linguistic Rule Extraction
Session: SS4F Paper Number: 715 Oral
Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection
Hisao Ishibuchi, Manabu Nii and Tadahiko Murata
Keywords: rule extraction rule selection fuzzy reasoning genetic algorithm
INTELLIGENT CONTROL, THEORY & APPLICATIONS (Return to Top)
ICNN97 Intelligent Control, Theory & Applications
Session: SS5A Paper Number: 725 Oral
Robust NLq neural control theory
J.A.K. Suykens, B. De Moor and J. Vandewalle
Keywords: multilayer recurrent neural networks neural control NLq systems real parametric uncertainty
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ICNN97 Intelligent Control, Theory & Applications
Session: SS5B Paper Number: 723 Oral
Feedback-error-learning control with considering smoothness of unknown nonlinearities
Yasuaki Kuroe, Hidehisa Inayoshi and Takehiro Mori
Keywords: Feedback-error-learning control inverse models forward models
_____
ICNN97 Intelligent Control, Theory & Applications
Session: SS5C Paper Number: 726 Oral
Fuzzy logic controllers generated by pseudo-bacterial genetic algorithm with adaptive operator
Tomonori Hashiyama, Norberto Eiji Nawa, Takeshi Furuhashi and Yoshiki Uchikawa
Keywords: fuzzy modeling genetic algorithm bacterial genetics hybrid systems
_____
ICNN97 Intelligent Control, Theory & Applications
Session: SS5D Paper Number: 722 Oral
A sliding mode controller with neural network and fuzzy logic
Minho Lee
Keywords: sliding mode controller neural network fuzzy logic
_____
ICNN97 Intelligent Control, Theory & Applications
Session: SS5E Paper Number: 721 Oral
Neuro-approach for intelligent systems development
Sigeru Omatu and Mitchifumi Yoshioka
Keywords: neuro-control PID control intelligent control inverted pendulum
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ICNN97 Intelligent Control, Theory & Applications
Session: SS5F Paper Number: 724 Oral
Adaptive control and stability analysis of nonlinear systems using neural networks
Osamu Yamanaka, Naoto Yoshizawa, Hiromitsu Ohmori and Akira Sano
Keywords: Adaptive control stability analysis nonlinear systems neural networks
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ICNN97 Intelligent Control, Theory & Applications
Session: SS5G Paper Number: 727 Oral
temperature control in a batch process by neural networks
Takeshi Iwasa, Noboru Morizumi, and Sigeru Omatu
Keywords: PID control neural network chemical plant batch process
NEURAL NETWORKS APPLICATIONS FOR MONITORING OF COMPLEX SYSTEMS (Return to Top)
ICNN97 NN Applications for Monitoring of Complex Systems
Session: SS6A Paper Number: 703 Oral
An ANS based helicopter transmission diagnostic system
Xiaoshu Xu, Hans Vanderveldt and Robert Allen
Keywords: Artificial Neural System helicopter transmission diagnostic system mechanical diagnostics
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ICNN97 NN Applications for Monitoring of Complex Systems
Session: SS6B Paper Number: 701 Oral
A neural architecture for fuzzy classification with application to complex system tracking
Patrick A. Stadter and Amulya K. Garga
Keywords: neural architecture fuzzy classification complex system tracking Voronoi diagram
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ICNN97 NN Applications for Monitoring of Complex Systems
Session: SS6C Paper Number: 704 Oral
Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks
Jae Woo Lee and Sungzoon Cho
Keywords: Learning correlation of beam position monitors synchrotron light source neural networks
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ICNN97 NN Applications for Monitoring of Complex Systems
Session: SS6D Paper Number: 702 Oral
Intelligent hybrid multi-agent architecture for engineering complex systems
R. Khosla and T. Dillon
Keywords: Intelligent hybrid multi-agent architecture engineering complex systems real time alarm processing
BIOMEDICAL APPLICATIONS (Return to Top)
ICNN97 Biomedical Applications
Session: SS7.1A Paper Number: 743 Oral
Neural network based segmentation using a priori image models
S. Sanjay Gopal, Berkman Sahiner, Heang-Ping Chan and Nicholas Petrick
Keywords: Neural network segmentation a priori image models
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ICNN97 Biomedical Applications
Session: SS7.1B Paper Number: 739 Oral
Feature selection and classification for the computerized detection of mass lesions in digital mammography
Matthew A. Kupinski and Maryellen L. Giger
Keywords: Feature classification Feature selection mass lesions digital mammography
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ICNN97 Biomedical Applications
Session: SS7.1C Paper Number: 740 Oral
An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions
Georgia D. Tourassi and Nicholas P. Xenopoulos
Keywords: artificial neural network mortality prediction percutaneous coronary interventions
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ICNN97 Biomedical Applications
Session: SS7.1D Paper Number: 742 Oral
neural network design for optimization of the partial area under the receiver operating characteristic curve
Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, S. Sanjay Gopal and Mitchell M. Goodsitt
Keywords: neural network design optimization receiver operating characteristic curve
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ICNN97 Biomedical Applications
Session: SS7.1E Paper Number: 741 Oral
Self-organizing maps for analyzing mammographic findings
Joseph Y. Lo and Carey E. Floyd, Jr.
Keywords: Self-organizing maps mammographic findings analysis neural networks
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ICNN97 Biomedical Applications
Session: SS7.2A Paper Number: 737 Oral
Neurometric assessment of adequacy of intraoperative anesthetic
Lars J. Kangas, Paul E. Keller, Carlton M. Cadwell, Rick Webber, Polly Pierce and Harvey L. Edmonds
Keywords: intraoperative anesthetic EEG signals supervised artificial neural networks
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ICNN97 Biomedical Applications
Session: SS7.2B Paper Number: 738 Oral
A three dimensional neural architecture
Evangelia Micheli-Tzanakou and Timothy J. Dasey
Keywords: three dimensional neural architecture lateral connections feedback connections
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ICNN97 Biomedical Applications
Session: SS7.2C Paper Number: 736 Oral
Visual ophtalmologist an automated system for classification of retinal damage
Sergey Aleynikov and Evangelia Micheli-Tzanakou
Keywords: Visual ophtalmologist image classification retinal damage
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ICNN97 Biomedical Applications
Session: SS7.2D Paper Number: 744 Oral
Genetic function approximation in the molecular pharmacology of cancer
Leming M. Shi, Yi Fan, Timothy G. Myers and John N. Weinstein
Keywords: Genetic function approximation molecular pharmacology of cancer cancer breast cancer
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ICNN97 Biomedical Applications
Session: SS7.2E Paper Number: 752 Oral
Evaluating artificial neural networks for medical application
Harry B. Burke
Keywords: artificial neural networks model accuracy significance testing
_____
ICNN97 Sensors and Biosensors
Session: SS8A Paper Number: 762 Oral
Neural network assisted drug detection in x-ray images
Gregg D. Wilensky, Narbik Manukian, John L. Kirkwood, and Jung-Chou Chang
Keywords: drug detection x-ray images neural networks
SENSORS AND BIOSENSORS (Return to Top)
ICNN97 Sensors and Biosensors
Session: SS8B Paper Number: 748 Oral
Detection and discrimination using X radiation
David G. Brown and Robert J. Jennings
Keywords: X radiation X-ray imaging reconstruction imaging multiple-energy imaging
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ICNN97 Sensors and Biosensors
Session: SS8C Paper Number: 749 Oral
Pulse coupled neural networks (PCNN) and wavelets: Biosensor applications
Mary Lou Padgett and John L. Johnson
Keywords: pulse coupled neural network wavelets biosensor factor classification
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ICNN97 Sensors and Biosensors
Session: SS8D Paper Number: 750 Oral
Blind De-mixing with unknown sources
Harold Szu and Charles Hsu
Keywords: multisensor data processing multispectral data processing Lagrangian-Hopfield neural network Hopfield energy function
KNOWLEDGE-BASED METHODS IN NEURAL NETWORKS (Return to Top)
ICNN97 Knowledge-based Methods in NN
Session: SS9.1A Paper Number: 754 Oral
On the conscious and subconscious components of knowledge representation in neural networks
Robert Kozma
Keywords: neural networks knowledge representation learning
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ICNN97 Knowledge-based Methods in NN
Session: SS9.1B Paper Number: 759 Oral
Some issues in system identification using clustering
Nikhil R. Pal, Kuhu Pal, James C. Bezdek and Thomas A. Runkler
Keywords: system identification clustering fuzzy reasoning system
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ICNN97 Knowledge-based Methods in NN
Session: SS9.1C Paper Number: 753 Oral
The truth is in there: Current issues in extracting rules from trained artificial neural networks
Alan B. Tickle, Mostefa Golea, Ross Hayward and Joachim Diedrich
Keywords: artificial neural networks training rule extraction
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ICNN97 Knowledge-based Methods in NN
Session: SS9.1D Paper Number: 758 Oral
Asynchronous translations with recurrent neural nets
Ramon P. Neco and Mikel L. Forcada
Keywords: asynchronous translation recurrent neural networks finite-state machines finite-state recognizers
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ICNN97 Knowledge-based Methods in NN
Session: SS9.2A Paper Number: 756 Oral
Possibilistic reasoning in a computational neural network
Andreas Kanstein, Marc Thomas and Karl Goser
Keywords: possibilistic reasoning computational neural network classification system fuzzy logic system
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ICNN97 Knowledge-based Methods in NN
Session: SS9.2B Paper Number: 757 Oral
Genetic algorithms for structural optimization, dynamic adaptation and automated design of fuzzy neural networks
Nikola K. Kasabov and Michael J. Watts
Keywords: genetic algorithms structural optimization dynamic adaptation fuzzy neural networks
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ICNN97 Knowledge-based Methods in NN
Session: SS9.2C Paper Number: 760 Oral
An overview on supervised neural networks for structures
Alessandro Sperduti
Keywords: supervised neural networks structures hybrid systems
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ICNN97 Knowledge-based Methods in NN
Session: SS9.2D Paper Number: 755 Oral
BEXA: Set covering vs. neural network knowledge acquisition - a comparative review
Ian Cloete
Keywords: set covering neural network knowledge acquisition machine learning
Web Site Author: Mary Lou Padgett (m.padgett@ieee.org)