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 Japanese) | (See Japanese page) |
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.. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / neural network / dynamical association |
Paper # | CAS2000-46,NLP2000-54 |
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Committee | NLP |
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Conference Date | 2000/7/13(1days) |
Place (in Japanese) | (See Japanese page) |
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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 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 |
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