Presentation 1997/10/20
Statistical Properties of Chaotic neural network
Toshiyuki Minatoya, Yoshimasa Daido,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The paper describes probability distribution of choaotic time series generated by chaotic neural network and logistic map. Frobenius-Perron integral equation is solved by applying Galekin approximation. Division interval is selected to coincide it's edge with peak of probability distribution. Tchebycheff and conventional Legendre's polynomials are used as basis of the approximation. Resultant probability distribution are compared for above two cases and fasten convergence of that with Tchebycheff's polynomial is confirmed.
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Keyword(in English) chaos / neural network / probability distribution / approximation
Paper # NC97-39
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Committee NC
Conference Date 1997/10/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Statistical Properties of Chaotic neural network
Sub Title (in English)
Keyword(1) chaos
Keyword(2) neural network
Keyword(3) probability distribution
Keyword(4) approximation
1st Author's Name Toshiyuki Minatoya
1st Author's Affiliation Division of Human, Information, and Managerial Engineering Faculty of Engineering()
2nd Author's Name Yoshimasa Daido
2nd Author's Affiliation Division of Human, Information, and Managerial Engineering Faculty of Engineering
Date 1997/10/20
Paper # NC97-39
Volume (vol) vol.97
Number (no) 332
Page pp.pp.-
#Pages 6
Date of Issue