• DocumentCode
    507818
  • Title

    Chaotic Neural Network with Disturbance of Trigonometric Function

  • Author

    Xu, Yao-qun ; Zheng, Xin

  • Author_Institution
    Inst. of Syst. Eng. Harbin, Univ. of Commerce, Harbin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    375
  • Lastpage
    378
  • Abstract
    In order to study the disturbance of chaotic neural network, the disturbance of trigonometric function was introduced into chaotic neural network and chaotic neural units with disturbance of trigonometric function were studied. The reversed bifurcation and the maximum Lyapunov exponent were given and the dynamic system was analyzed. Then it is applied in the function and combinatorial optimization problems. The simulation results show that the chaotic neural network with disturbance of trigonometric function can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the strong robustness and anti-interference ability are embodied in chaotic neural network.
  • Keywords
    Lyapunov methods; bifurcation; chaos; combinatorial mathematics; neural nets; optimisation; chaotic neural network; combinatorial optimization problem; dynamic system; maximum Lyapunov exponent; reversed bifurcation; trigonometric function disturbance; Bifurcation; Business; Chaos; Computer networks; Electronic mail; Hopfield neural networks; Neural networks; Neurons; Robustness; Systems engineering and theory; TSP; chaotic neural network; disturbance of trigonometric function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.627
  • Filename
    5363276