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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / neural network / probability distribution / approximation |
Paper # | NC97-39 |
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Committee | NC |
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Conference Date | 1997/10/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |
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