Presentation 2000/7/13
A dynamical character of association in time series association memory models
Ichirou Umeki, Isao Tokuda, Tomomasa Nagashima,
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Abstract(in English) The dynamic association memory model of the neural network was made to become the condition of chaos. Then, the condition of the chaos that the association of dynamic time series is broken down is made, and it was examined how a movement changed in comparison with the dynamic association memory model of the cause as that result..
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Keyword(in English) chaos / neural network / dynamical association
Paper # CAS2000-46,NLP2000-54
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Conference Information
Committee NLP
Conference Date 2000/7/13(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A dynamical character of association in time series association memory models
Sub Title (in English)
Keyword(1) chaos
Keyword(2) neural network
Keyword(3) dynamical association
1st Author's Name Ichirou Umeki
1st Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Technology()
2nd Author's Name Isao Tokuda
2nd Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Technology
3rd Author's Name Tomomasa Nagashima
3rd Author's Affiliation Department of Computer Science and System Engineering, Muroran Institute of Technology
Date 2000/7/13
Paper # CAS2000-46,NLP2000-54
Volume (vol) vol.100
Number (no) 205
Page pp.pp.-
#Pages 6
Date of Issue