Gauss Chaotic Neural Networks

  • Yao-qun Xu
  • Ming Sun
  • Ji-hong Shen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4099)


We retrospect Chen’s chaotic neural network and then propose a new chaotic neural network model whose activation function is composed of Gauss and Sigmoid function. And the time evolution figures of the largest Lyapunov exponents of chaotic single neural units are plotted. Based on the new model, the model with different parameters is applied to combinational optimization problems. 10-city traveling salesman problem (TSP) is given to make a comparison between Chen’s and the new model with different parameters. Finally on the simulation results we conclude that the novel chaotic neural network model we proposed is more effective.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yao-qun Xu
    • 1
  • Ming Sun
    • 1
  • Ji-hong Shen
    • 2
  1. 1.Institute of Computer and Information EngineeringHarbin University of CommerceHarbinChina
  2. 2.Dept. of MathmaticsHarbin Engineering UniversityHarbinChina

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