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

  • 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

この論文をさがす

説明

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.

収録刊行物

被引用文献 (4)*注記

もっと見る

参考文献 (11)*注記

もっと見る

詳細情報 詳細情報について

  • CRID
    1572543027348453632
  • NII論文ID
    110003212960
  • NII書誌ID
    AA10826239
  • ISSN
    09168508
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

問題の指摘

ページトップへ