| Presentation | 1994/12/16 A study of self-associative model with periodic chaos neurons Tsuyoshi Kasahara, Masahiro Nakagawa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A chaos neuron model with a periodic mapping is proposed.It is shown that chaotic behavior of the neuron model can be controlled by a single parameter.It is also found that the associative model composed of these neurons can associate the embedded patterns more certainly in comparison with the conventional associative model, Associatron.Moreover,the association is accomplished even if patterns with multiple gray levels are embedded,and it is also found that the number of the patterns to be embedded can not be reduced below ～0.05N as level of them increases,where N denotes th e total number of the neurons in the network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural Network / Chaos / Associative Model |
| Paper # | NLP94-73 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1994/12/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of self-associative model with periodic chaos neurons |
| Sub Title (in English) | |
| Keyword(1) | Neural Network |
| Keyword(2) | Chaos |
| Keyword(3) | Associative Model |
| 1st Author's Name | Tsuyoshi Kasahara |
| 1st Author's Affiliation | Department of Electrical Engineering,Faculty of Engineering, Nagaoka University of Technology() |
| 2nd Author's Name | Masahiro Nakagawa |
| 2nd Author's Affiliation | Department of Electrical Engineering,Faculty of Engineering, Nagaoka University of Technology |
| Date | 1994/12/16 |
| Paper # | NLP94-73 |
| Volume (vol) | vol.94 |
| Number (no) | 418 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |