Presentation | 1995/6/16 Bifurcation from a hysteresis neuron network Takahiko Nakamura, Toshimichi Saito, Kenya Jin'no, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper considers chaotic dynamics in a simplified version of a piecewise linear hysteresis neural network. The analysis is carried out by using rigorously derived return map and we have discovered that the network exhibits line expanding chaos, area expanding chaos and hyper-chaos. Also, related bifurcations are discussed briefly. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / hysteresis / coupled oscillator / bifurcation / Lyapunov exponents |
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Conference Information | |
Committee | NLP |
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Conference Date | 1995/6/16(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 | 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) | Bifurcation from a hysteresis neuron network |
Sub Title (in English) | |
Keyword(1) | chaos |
Keyword(2) | hysteresis |
Keyword(3) | coupled oscillator |
Keyword(4) | bifurcation |
Keyword(5) | Lyapunov exponents |
1st Author's Name | Takahiko Nakamura |
1st Author's Affiliation | EEE Dept., HOSEI University() |
2nd Author's Name | Toshimichi Saito |
2nd Author's Affiliation | EEE Dept., HOSEI University |
3rd Author's Name | Kenya Jin'no |
3rd Author's Affiliation | EEE Dept., HOSEI University |
Date | 1995/6/16 |
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Volume (vol) | vol.95 |
Number (no) | 92 |
Page | pp.pp.- |
#Pages | 6 |
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