Presentation 1997/10/7
Neural Network Simulator for Spatiotemporal Pattern Analysis
Akihiro NAKAGAWA, Atsushi KAMO, Hiroshi NINOMIYA, Hideki ASAI,
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Abstract(in English) This report describes a neural network simulator for spatiotemporal pattern analysis. We regard the multi-valued transfer function of neuron as a stepwise constant one. Use of stepwise constant method enables to analyse the state transition of the network without solving explicitly the differential equations. Furthermore, this method also enables to select the optimal timestep in numerical integration. We have constructed a neural network simulator for the spatiotemporal pattern analysis and compared with the conventional simulator. Finally, it is shown that our simulator is much faster and more practical than the conventional simulators.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) stepwise constant method / multi-valued neural net / networks with cyclic connections / spatiotemporal pattern analysis
Paper # NLP97-99-112
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Conference Information
Committee NLP
Conference Date 1997/10/7(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neural Network Simulator for Spatiotemporal Pattern Analysis
Sub Title (in English)
Keyword(1) stepwise constant method
Keyword(2) multi-valued neural net
Keyword(3) networks with cyclic connections
Keyword(4) spatiotemporal pattern analysis
1st Author's Name Akihiro NAKAGAWA
1st Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University()
2nd Author's Name Atsushi KAMO
2nd Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
3rd Author's Name Hiroshi NINOMIYA
3rd Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
4th Author's Name Hideki ASAI
4th Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
Date 1997/10/7
Paper # NLP97-99-112
Volume (vol) vol.97
Number (no) 301
Page pp.pp.-
#Pages 8
Date of Issue