• DocumentCode
    519373
  • Title

    Activation Function of Wavelet Chaotic Neural Networks

  • Author

    Zhang, Jia-hai ; Chen, Hai-Xia

  • Author_Institution
    Coll. of Electr. & Autom. Eng., Sanjing Univ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    5-6 June 2010
  • Firstpage
    408
  • Lastpage
    411
  • Abstract
    Chaotic neural networks have been proved to be powerful tools for escaping from local minima. In this paper, we first review Chen´s chaotic neural network and then propose a novel chaotic neural network model. Second, we make an analysis of the most positive Lyapunov exponent of the neural units of Chen´s and the proposed model. Third, 10-city traveling salesman problem (TSP) is given to make a comparison between them. Finally we conclude that the novel chaotic neural network model we proposed is more valid.
  • Keywords
    Lyapunov matrix equations; neural nets; optimisation; Chens chaotic neural network; Chens neural units; Lyapunov exponent; TSP; traveling salesman problem; wavelet chaotic neural networks activation function; Automatic control; Chaos; Computer networks; Damping; Educational institutions; Neural networks; Neurons; Power engineering computing; Simulated annealing; Traveling salesman problems; Activation Function; Chaotic; Neural Networks; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-4026-9
  • Type

    conf

  • DOI
    10.1109/CCIE.2010.108
  • Filename
    5492110