Presentation 1999/3/17
Design Method and Analysis of Neural Networks for Limit Cycle Generator
Teru YONEYAMA, Hiroshi NINOMIYA, Hideki ASAI,
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Abstract(in English) This paper describes a simple design method of the neural networks for limit cycle generators. In this method, 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 are determined by the above solutions and the limit cycle generator is designed. We use the steepest descent method for solving the linear programming problems. Furthermore, we have designed the limit cycle generator with analog neural networks and simulated by using SPICE. Finally, we have confirmed that our design method is efficient and practical for the design of limit cycle generators.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) neural networks / limit cycle generator / linear programming / analog electronic circuits.
Paper # NLP98-115
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Committee NLP
Conference Date 1999/3/17(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design Method and Analysis of Neural Networks for Limit Cycle Generator
Sub Title (in English)
Keyword(1) neural networks
Keyword(2) limit cycle generator
Keyword(3) linear programming
Keyword(4) analog electronic circuits.
1st Author's Name Teru YONEYAMA
1st Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University()
2nd Author's Name Hiroshi NINOMIYA
2nd Author's Affiliation Department of Information Science, Shonan Institute of Technology
3rd Author's Name Hideki ASAI
3rd Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
Date 1999/3/17
Paper # NLP98-115
Volume (vol) vol.98
Number (no) 662
Page pp.pp.-
#Pages 8
Date of Issue