Performance of Chaos and Burst Noises Injected to the Hopfield NN for Quadratic Assignment Problems

  • UWATE Yoko
    Department of Electrical and Electronic Engineering, Tokushima University
  • NISHIO Yoshifumi
    Department of Electrical and Electronic Engineering, Tokushima University
  • UETA Tetsushi
    Center for Advanced Information Technology, Tokushima University
  • KAWABE Tohru
    Institute of Information Sciences and Electronics, University of Tsukuba
  • IKEGUCHI Tohru
    Graduate School of Science and Engineering, Saitama University

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Description

In this paper, performance of chaos and burst noises injected to the Hop field Neural Network for quadratic assignment problems is investigated. For the evaluation of the noises, two methods to appreciate finding a lot of nearly optimal solutions are proposed. By computer simulations, it is confirmed that the burst noise generated by the Gilbert model with a laminar part and a burst part achieved the good performance as the intermittency chaos noise near the three-periodic window.

Journal

  • IEICE Trans. Fundamentals, A

    IEICE Trans. Fundamentals, A 87 (4), 937-943, 2004-04-01

    The Institute of Electronics, Information and Communication Engineers

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Details 詳細情報について

  • CRID
    1571135652464901248
  • NII Article ID
    110003212982
  • NII Book ID
    AA10826239
  • ISSN
    09168508
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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