Presentation 1995/6/16
Bifurcation from a hysteresis neuron network
Takahiko Nakamura, Toshimichi Saito, Kenya Jin'no,
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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
Conference Date 1995/6/16(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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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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