Intermittency of Recurrent Neuron and Its Network Dynamics : Secial Section on Neural Nets, Chaos and Numerics
スポンサーリンク
概要
- 論文の詳細を見る
Various models of a neuron have been proposed and many studies about them and their networks have been reported. Among these neurons, this paper describes a study about the model of a neuron providing its own feedback input and possesing a chaotic dynamics. Using a return map or a histogram of laminar length, type-I intermittency is recognized in a recurrent neuron and its network. A posibility of controlling dynamics in recurrent neural networks is also mentioned a little in this paper.
- 社団法人電子情報通信学会の論文
- 1993-05-25
著者
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HIRATA Masaya
Osaka Prefectural College of Technology
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Inagaki Yoshio
College Of Engineering University Of Osaka Prefecture
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Shirao Yoshiaki
the College of Engineering, University of Osaka Prefecture
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Kawabata Hiroaki
the College of Engineering, University of Osaka Prefecture
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Nagahara Toshikuni
the College of Engineering, University of Osaka Prefecture
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Inagaki Yoshio
the College of Engineering, University of Osaka Prefecture
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Kawabata H
Okayama Prefectural Univ. Soja‐shi Jpn
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Tsubata T
Sharp Corp. Mie
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Tsubata Toshihide
the College of Engineering, University of Osaka Prefecture
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Nagahara Toshikuni
College of Engineering, University of Osaka Prefecture
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Shirao Yoshiaki
College Of Engineering University Of Osaka Prefecture
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Nagahara Toshikuni
College Of Engineering University Of Osaka Prefecture
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- Quasi-Periodicity Route to Chaos in Josephson Transmission Line
- Intermittency of Recurrent Neuron and Its Network Dynamics : Secial Section on Neural Nets, Chaos and Numerics
- Application of an Improved Genetic Algorithm to the Learning of Neural Networks