IEICE Technical Committee

Information and Systems-Neurocomputing(Date:1996/03/19)

Presentation

表紙

[Date]1996/3/19
[Paper #]

Self-Averaging and Sample Complexity

Gu Hanzhong, Haruhisa Takahashi,

[Date]1996/3/19
[Paper #]NC95-154

Hybrid Learning for Radial Basis Function Networks

Tititorn Semangern, Takao Kobayashi, Satoshi Imai,

[Date]1996/3/19
[Paper #]NC95-155

Estimated Precision of the Hidden Layer's Output of MLP with the EM Algorithm

Terumasa SHIROSAKA,

[Date]1996/3/19
[Paper #]NC95-156

Learning Capability of Distance-Based Cosine Network

Koichi OIKE, Seiichi KOAKUTSU, Hironori HIRATA,

[Date]1996/3/19
[Paper #]NC95-157

A Learning Algorithm for Layered Oscillator Neural Networks

Shigeki Kusagaya, Yoko Yamaguchi,

[Date]1996/3/19
[Paper #]NC95-158

Comparison of ε-MAXNET and Traditional WTA Networks

Kiyoshi NISHIYAMA, Yasuhiro YAMASHITA,

[Date]1996/3/19
[Paper #]NC95-159

A self-supervised learning system for category detection by sensory integration

Koichiro YAMAUCHI, Mikiya OOTA, Naohiro ISHII,

[Date]1996/3/19
[Paper #]NC95-160

Pattern recognition with feature map and the improvement on sequential learning ability

Shuhei Kondo, Ryoko Futami, Nozomu Hoshimiya,

[Date]1996/3/19
[Paper #]NC95-161

A Neural Networsks with Self-Creating Pattern Vectors

Keiko Tada, Yasushi Tsukuda, Hiroaki Kurokawa, Shinsaku Mori,

[Date]1996/3/19
[Paper #]NC95-162

Study of improvement for the Kohonen's Self-Organizing Feature Maps

Masaki Kobayashi, Katsunari Tanahashi, Kikuo Fujimura, Heizo Tokutaka, Satoru Kishida,

[Date]1996/3/19
[Paper #]NC95-163

A Study on Relations between Internal Representation and Generalization Ability of Multi Layered Neural Networks for Function Approximation Problems

Eiji Watanabe,

[Date]1996/3/19
[Paper #]NC95-164

Law Discovery using Neural Networks

Kazumi Saito, Ryohei Nakano,

[Date]1996/3/19
[Paper #]NC95-165

A Concept Learning on Dynamic Neural Network Model PATON

Akiko Mochizuki, Kentaro Kawai, Takashi Omori,

[Date]1996/3/19
[Paper #]NC95-166

A Multilayer Neural Network With A Feedback Loop Approximating Many-Valued Functions

Yoshihiro Tomikawa, Hitoshi Akiyama, Kenji Nakayama,

[Date]1996/3/19
[Paper #]NC95-167

Proposal of frequency-domain parallel processing in coherent neural networks

Akira Hirose, Rolf Eckmiller,

[Date]1996/3/19
[Paper #]NC95-168

Search of additional term for learning in layered neural networks

Masato Nakagawa, Tadaaki Kawai, Satoru Kishida, Heizo Tokutake, Kikuo Fujimura,

[Date]1996/3/19
[Paper #]NC95-169

A Modified back-Propagation Algorithm that Automatically Removes Redundant Hidden Units by Competition

Yutaka MATSUNAGA, Kazuyuki MURASE, Osamu yamakawa, Manabu TANIFUJI,

[Date]1996/3/19
[Paper #]NC95-170

Selective Learning Algorithms with Forgetting taking account of the Balance between Learning and Forgetting

Eiji Watanabe,

[Date]1996/3/19
[Paper #]NC95-171