Presentation 1996/3/18
An Autonomously Controlled Chaos Neural Network
Masahiro NAKAGAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper we shall propose a simple chaos neural network model applied to autonomous chaotic wandering and the autoassociation models. The present artificial neuron model is properly characterized in terms of a sinusoidal activation function to involve a chaotic dynamics as well as all autonomous control of the period. It is elucidated that the present neural network has an ability of the dynamic memory retrievals beyond the conventional chaotic model with such a monotonous mapping as a sigmoid function.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Chaos / periodic mapping / autonomous control
Paper # NC-95-124
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Conference Information
Committee NC
Conference Date 1996/3/18(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Autonomously Controlled Chaos Neural Network
Sub Title (in English)
Keyword(1) Chaos
Keyword(2) periodic mapping
Keyword(3) autonomous control
1st Author's Name Masahiro NAKAGAWA
1st Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology()
Date 1996/3/18
Paper # NC-95-124
Volume (vol) vol.95
Number (no) 598
Page pp.pp.-
#Pages 8
Date of Issue