IEICE Technical Committee

Information and Systems-Neurocomputing(Date:2000/03/14)

Presentation

表紙

[Date]2000/3/14
[Paper #]

A study on the dynamical behavior of an ensemble of excitable neurons

Tserolas Vasileios, Shuji Akiyama, Yoshifumi Sekine,

[Date]2000/3/14
[Paper #]NC99-117

Behavior of a Complex Neuron Model : Derivation of the model and numerical simulation

Kei Saito, Iku Nemoto,

[Date]2000/3/14
[Paper #]NC99-118

Chaotic synchronized cluster in the network of spike response neurons

Akihiro Yamaguchi, Naoto Okumura, Hiroyuki Chaki, Mitsuo Wada,

[Date]2000/3/14
[Paper #]NC99-119

Reconstruction of chaotic dynamics by neural network using a integral embedding method

Wako Yoshida, Shin Ishii, Masa-aki Sato,

[Date]2000/3/14
[Paper #]NC99-120

A selection method of learning data for nonstationary time series prediction

Satoshi Tsuji, Nobuhiko Ogura, Sumio Watanabe,

[Date]2000/3/14
[Paper #]NC99-121

Estimation of a criterion function from data corrupted by noise using dynamic inverse optimization

Hong Zhang, Masumi Ishikawa,

[Date]2000/3/14
[Paper #]NC99-122

A Neural Network Model Self-Organizing the Cognitive Map Using Theta Phase Coding

Hiroaki Wagatsuma, Yoko Yamaguchi,

[Date]2000/3/14
[Paper #]NC99-123

A study of storage and retrieval of temporal sequence in the hippocampus by using a theta phase precessing model

Noritoshi Haga, Yoko Yamaguchi,

[Date]2000/3/14
[Paper #]NC99-124

Studies on Removing Redundant Hidden Units for Multilayer Nets

Hiroshi SHIRATSUCHI, Hiromu GOTANDA, Katsuhiro INOUE, Kousuke KUMAMARU,

[Date]2000/3/14
[Paper #]NC99-125

Statistical Property of Layered Neural Network Connection Weights

Masashi Kitahara, Taichi Hayasaka, Naohiro Toda, Shiro Usui,

[Date]2000/3/14
[Paper #]NC99-126

An Incremental Learning Method without Relearning : Reduction of the Computational Complexity

Youichi MINAGAWA, Nobuhiko YAMAGUCHI, Koichiro YAMAUCHI, Naohiro ISHII, Yoshikazu TAKAHASHI,

[Date]2000/3/14
[Paper #]NC99-127

Designing Regularizers Based on Data by Minimizing Generalization Errors.

Hirohito Shimada, Masumi Ishikawa, Shun-ichi Amari,

[Date]2000/3/14
[Paper #]NC99-128

Prediction and Training Errors by the Maximum Likelihood Method for Models whose True Parameter Sets are Compact Analytic Sets

Sumio Watanabe,

[Date]2000/3/14
[Paper #]NC99-129

On-line Bayesian leaning method and model selection in dynamic environment

Masa-aki Sato,

[Date]2000/3/14
[Paper #]NC99-130

Optimal Parameter Estimation of Hidden Markov Models

Hitoshi TOMITA, Naonori UEDA,

[Date]2000/3/14
[Paper #]NC99-131

Variational Bayesian Learning for Optimal Model Search over Parameter and Structure

Naonori UEDA,

[Date]2000/3/14
[Paper #]NC99-132

Clustering by SOM(Self-Organising Maps), MCP(Modified Counter Propagation)and MST(Minimal Spanning Tree)

K. Obu-Cann, H. Tokutaka, K. Fujimura, K. Yoshihara, Materials Group of SASJ Metal,

[Date]2000/3/14
[Paper #]NC99-133

Self-organizing Map with a Variable-size Competitive Layer

Hiroshi Suenaga, Masumi Ishikawa,

[Date]2000/3/14
[Paper #]NC99-134