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ICNN'97 FINAL PAPER LIST
SU: SUPERVISED / UNSUPERVISED LEARNING
Oral Sessions: SU1, SU2, SU3, SU4, SU5, SU6 Poster Session: SUP2
Session Chairs:
SU1 Mon (AM) Hirotaka Nakayama, Konan University
SU2 Mon (PM) Christian Bohn, German National Research Center
SU3 Tues (AM) Edward Kamen, Georgia Institute of Technology
SU4 Wed (AM) Jorg Wille, Cottbus University of Technology
SU5 Thurs (AM) Mitra Basu, The City College of New York
SU6 Thurs (PM) V. Honavar, Iowa State University
SESSION SU1: Monday, June 9, 1997; 10:50 - 12:30 (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
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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
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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
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SESSION SU2: Monday, June 9, 1997; 13:50 - 15:50 PM (Return to Top)
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
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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
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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
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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
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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
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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
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SESSION SU3: Tuesday, June 10, 1997; 10:00 - 12:00 (Return to Top)
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
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SESSION SU4: Wednesday, June 11, 1997; 10:00 - 12:00 AM (Return to Top)
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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SESSION SU5: Thursday, June 12, 1997; 10:00 - 12:00 PM (Return to Top)
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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SESSION SU6: Thursday, June 12, 1997; 13:20 - 15:20 PM (Return to Top)
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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SESSION SUP2: Wednesday, June 11, 1997; 16:00 - 18:20 PM (Return to Top)
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