AUTOMATIC LEARNING IN CHAOTIC NEURAL NETWORKS

Authors
WATANABE M AIHARA K KONDO S
Citation
M. Watanabe et al., AUTOMATIC LEARNING IN CHAOTIC NEURAL NETWORKS, Electronics and communications in Japan. Part 3, Fundamental electronic science, 79(3), 1996, pp. 87-93
Citations number
6
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
Electronics and communications in Japan. Part 3, Fundamental electronic science → ACNP
ISSN journal
10420967
Volume
79
Issue
3
Year of publication
1996
Pages
87 - 93
Database
ISI
SICI code
1042-0967(1996)79:3<87:ALICNN>2.0.ZU;2-O
Abstract
A fully local algorithm which can automatically detect and learn an un known pattern is proposed for a mutually connected recurrent neural ne twork, and its fundamental properties are numerically analyzed. The al gorithm is applied to chaotic neural networks composed of neuron model s with spatiotemporal inputs and refractoriness and to conventional mu tually connected neural networks. It is shown that the former could le arn more patterns with greater robustness than the latter.