A Fast Neural Network Simulator for State Transition Analysis (Special Section on Nonlinear Theory and Its Applications)
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概要
- 論文の詳細を見る
This paper describes an efficient simulator for state transition analysis of multivalued continuous-time neural networks, where the multivalued transfer function of neuron is regarded 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. This method also enables to select the optimal timestep in numerical integration. The proposed method is implemented on the simulator and applied to the general neural network analysis. Furthermore, this is compared with the conventional simulators. Finally, it is shown that our simulator is drastically faster and more practical than the conventional simulators.
- 社団法人電子情報通信学会の論文
- 1999-09-25
著者
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ASAI Hideki
Dept. of Systems Eng., Shizuoka University
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Asai H
Shizuoka Univ. Hamamatsu‐shi Jpn
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Asai Hideki
Department Of Systems Engineering Faculty Of Engineering Shizuoka University
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Asai Hideki
Shizuoka Univ. Hamamatsu‐shi Jpn
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Asai Hideki
Department Of Opto-electronics&mechanical Engineering Faculty Of Engineering Shizuoka University
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NINOMIYA Hiroshi
Department of Otolaryngology-Head and Neck Surgery, Gunma University Graduate School of Medicine
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KAMO Atsushi
Sony LSI Design Inc.
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KAMO Atsushi
Department of Systems Engineering, Faculty of Engineering, Shizuoka University
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Kamo Atsushi
Department Of Systems Engineering Faculty Of Engineering Shizuoka University
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YONEYAMA Teru
the Department of Systems Engineering, Faculty of Engineering, Shizuoka University
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YONEYAMA Teru
Department of Systems Engineering, Faculty of Engineering, Shizuoka University
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Kamo A
Sony Lsi Design Inc.
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Yoneyama Teru
The Department Of Systems Engineering Faculty Of Engineering Shizuoka University
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Ninomiya H
Department Of Otolaryngology-head And Neck Surgery Gunma University Graduate School Of Medicine
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Asai Hideki
Department Of Applied Chemistry Faculty Of Engineering Okayama University
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Ninomiya Hiroshi
Department Of Applied Physics Faculty Of Science Fukuoka University
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