• DocumentCode
    2772485
  • Title

    Self-evolution fuzzy chaotic neural network and its application

  • Author

    Tang, Mo ; Bi, Xiaojun ; Wang, Kejun

  • Author_Institution
    Dept. of Autom., Univ. of Harbin Eng., Harbin, China
  • fYear
    2011
  • fDate
    7-10 Aug. 2011
  • Firstpage
    392
  • Lastpage
    397
  • Abstract
    In this paper, a novel neural network model called self-evolution fuzzy chaotic neural network is proposed. This model is constructing on the basis of fuzzy Hopfield neural network and self-evolution neural network. Self-evolution neural network has been confirmed of contain chaos characteristic under certain conditions. The new established self-evolution fuzzy chaotic neural network is proved to have both fuzzy clustering function and chaotic associate memory ability throughout theory analysis and simulation.
  • Keywords
    Hopfield neural nets; fuzzy logic; fuzzy neural nets; chaotic associate memory ability; fuzzy Hopfield neural network; fuzzy clustering function; self-evolution fuzzy chaotic neural network model; Associative memory; Biological neural networks; Chaotic communication; Hopfield neural networks; Neurons; Steady-state; chaos; fuzzy Hopfield neural network; self-evolution fuzzy chaotic neural network; self-evolution neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-8113-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2011.5985690
  • Filename
    5985690