Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN

4 Citations 11 References
  • UWATE Yoko
    Department of Electrical and Electronic Engineering, Tokushima University
  • NISHIO Yoshifumi
    Department of Electrical and Electronic Engineering, Tokushima University
  • USHIDA Akio
    Department of Mechanical-Electronic Engineering, Tokushima Bunri University

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Description

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.

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Details 詳細情報について

  • CRID
    1572543027348453632
  • NII Article ID
    110003212960
  • NII Book ID
    AA10826239
  • ISSN
    09168508
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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