Presentation 1999/7/22
A Property of Memory Pattern Switching in A Chaotic Associative Neural Network with Symmetry
Takaaki Uematu, Norikazu Hatakeyama, Isao Tokuda, Tomomasa Nagasima,
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Abstract(in English) Focusing our attention to the symmtry of the neural network, we intend to extract information useful in designing chaotic associative neural networks which exhibit dynamical swiching of storred memories. In particular, we take a set of storred memory patterns which are orthogonal with each other and investigate property of the coupling matrix defined by the autocorrelation matrix concerning the storred memories.
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Keyword(in English) Chaotic Neural Network / Dynamical Associative Memory / Orhogonal Pattern / Non-Orhogonal Pattern / Coupling Matrix
Paper # CST99-22
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Committee CST
Conference Date 1999/7/22(1days)
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Registration To Concurrent System Technology (CST)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Property of Memory Pattern Switching in A Chaotic Associative Neural Network with Symmetry
Sub Title (in English)
Keyword(1) Chaotic Neural Network
Keyword(2) Dynamical Associative Memory
Keyword(3) Orhogonal Pattern
Keyword(4) Non-Orhogonal Pattern
Keyword(5) Coupling Matrix
1st Author's Name Takaaki Uematu
1st Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Tecnology()
2nd Author's Name Norikazu Hatakeyama
2nd Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Tecnology
3rd Author's Name Isao Tokuda
3rd Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Tecnology
4th Author's Name Tomomasa Nagasima
4th Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Tecnology
Date 1999/7/22
Paper # CST99-22
Volume (vol) vol.99
Number (no) 206
Page pp.pp.-
#Pages 6
Date of Issue