Presentation 2003/9/22
Control of An Associative Chaotic Neural Network Exhibitting Intermittency
Masaharu ADACHI, Norihisa SATO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) An attempt to maintain chaos of an associative chaotic neural network, which exhibits intermittency without control, is described in the presenting article. The network to be controlled is composed of 16 chaotic neurons with the synaptic weights that are determined by a conventional auto-associative matrix to store three orthogonal patterns. The network shows intermittency with certain parameter values without control. In this article, the network with the intermittency is controlled in order to maintain chaos of the network. The control is applied only when the state vector falls into a laminar phase. Perturbations are applied so that the state vector leaves away from the laminar phase. It is demonstrated that the maintenance of chaos for the network in high-dimension can be realized by such a simple control algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) chaotic neural network model / dynamical association / intermittency / maintenance of chaos
Paper # MLP2003-56
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Committee NLP
Conference Date 2003/9/22(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Control of An Associative Chaotic Neural Network Exhibitting Intermittency
Sub Title (in English)
Keyword(1) chaotic neural network model
Keyword(2) dynamical association
Keyword(3) intermittency
Keyword(4) maintenance of chaos
1st Author's Name Masaharu ADACHI
1st Author's Affiliation Department of Electronic Engineering, College of Engineering. Tokyo Denki University()
2nd Author's Name Norihisa SATO
2nd Author's Affiliation Department of Electronic Engineering, College of Engineering. Tokyo Denki University
Date 2003/9/22
Paper # MLP2003-56
Volume (vol) vol.103
Number (no) 335
Page pp.pp.-
#Pages 4
Date of Issue