A Fast Algorithm for Spatiotemporal Pattern Analysis of Neural Networks with Multivalued Logic (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 simulation algorithm for the spatiotemporal pattern analysis of the continuous-time neural networks with the multivalued logic (multivalued continuous-time neural networks). The multivalued transfer function of neuron is approximated to the stepwise constant function which is constructed by the sum of the step functions with the different thresholds. By this approximation, the dynamics of the network can be formulated as a stepwise constant linear differential equation at each timestep and the optimal timestep for the numerical integration can be obtained analytically. Finally, it is shown that the proposed method is much faster than a variety of conventional simulatiors.
- 社団法人電子情報通信学会の論文
- 1998-09-25
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
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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YONEYAMA Teru
the Department of Systems Engineering, Faculty of Engineering, Shizuoka University
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NINOMIYA Hiroshi
Faculty of Engineering, Shizuoka University
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KAMO Atsushi
Faculty of Engineering, Shizuoka University
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YONEYAMA Teru
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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Ninomiya Hiroshi
Faculty Of Engineering Shizuoka University
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