Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfleld NN(<Special Section>Selected Papers from the 16th Workshop on Circuits and Systems in Karuizawa)

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概要

• 論文の詳細を見る

• In this study, a modeling method of the intermittency chaos using the Markov chain is proposed. The performances of the intermittency chaos and the Markov chain model are investigated when they are injected to the Hop field Neural Network for a quadratic assignment problem or an associative memory. Computer simulated results show thatthe proposed m odeling is good enough to gain similar performance of the intermittency chaos.

• 社団法人電子情報通信学会の論文
• 2004-04-01

著者

• NISHIO Yoshifumi

  Department of Electrical and Electronic Engineering, Tokushima University

• Nishio Yoshifumi

  Faculty Of Engineering Tokushima University

• USHIDA Akio

  Department of Mechanical and Electronic Engineering, Tokushima Bunri University

• NISHIO Yoshifumi

  the Faculty of Engineering, Tokushima University

• Nishio Yoshifumi

  Electrical And Electronic Engineering The University Of Tokushima

• Ushida A

  Department Of Mechanical And Electronic Engineering Faculty Of Engineering Tokushima Bunri Universit

• Ushida Akio

  Department Of Electrical And Electronic Engineering Faculty Of Engineering Tokushima University

• Ushida Akio

  Department Of Mechanical-electronic Engineering Tokushima Bunri University

• UWATE Yoko

  Department of Electrical and Electronic Engineering, Tokushima University

• Nishio Yoshifumi

  Department Of Dept. Of Electrical And Electronics Engineering Tokushima University

• Uwate Yoko

  Department Of Dept. Of Electrical And Electronics Engineering Tokushima University

• Uwate Y

  Department Of Electrical And Electronic Engineering Tokushima University

• Nishio Yoshifumi

  The Faculty Of Science And Technology Keio University

• Nishio Y

  Department Of Electrical And Electronic Engineering Faculty Of Engineering Tokushima University

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