Limit Cycles of One-Dimensional Neural Networks with the Cyclic Connection Matrix (Special Section of Papers Selected from JTC-CSCC'95)
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概要
- 論文の詳細を見る
In this paper, a simple method to investigate the dynamics of continuous-time neural networks based on the force(kinetic vector) derived from the equation of motion for neural networks instead of the energy function of the system has been described. The number of equilibrium points and limit cycles of one-dimensional neural networks with the asymmetric cyclic connection matrix has been investigated experimently by this method. Some types of equilibrium points and limit cycles have been theoretically analyzed. The relations between the properties of limit cycles and the number of connections also have been discussed.
- 社団法人電子情報通信学会の論文
- 1996-06-25
著者
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NAKAJIMA Koji
Laboratory for Brainware Systems, Laboratory for Nanoelectronics and Spintronics, Research Institute
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Hayakawa Yoshihiro
Laboratory For Electronic Intelligent Systems Research Institute Of Electrical Communication Tohoku
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Hayakawa Yoshihiro
Laboratory For Brainware Reseach Institute Of Electrical Comunication Tohoku University:laboratory F
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Sawada Y
Research Center For Electrical Communication Tohoku University
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Sawada Yasuji
Laboratory For Microelectronics Research Institute Of Electrical Communication Tohoku University
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Nakajima K
Faculty Of Science And Technology Hirosaki University
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Park Cheol-young
Laboratory For Electronic Intelligent Systems Research Institute Of Electrical Communication Tohoku
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Nakajima Koji
Laboratory For Brainware Reseach Institute Of Electrical Comunication Tohoku University:laboratory F
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