Design Method of Neural Networks for Limit Cycle Generator by Linear Programming
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概要
- 論文の詳細を見る
In this report, a design method of neural networks for limit cycle generator is described. First, the constraint conditions for the synaptic weights, which are given by the linear inequalities, are derived from the dynamics of neural networks. Next, the linear inequalities are solved by the linear programming method. The synaptic weights and other parameters are determined by the above solutions. Furthermore, neuro-based limit cycle generator is designed with analog electronic circuits and simulated by Spice. Finally, we confirm that our design method is efficient and practical for the design of neuro-based limit cycle generator.
- 社団法人電子情報通信学会の論文
- 2001-02-01
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
The Department Of Systems 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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YONEYAMA Teru
the Department of Systems Engineering, Faculty of Engineering, Shizuoka University
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NINOMIYA Hiroshi
the Department of Information Science, Shonan Institute of Technology
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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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