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Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network

  • Yan Huang
  • Xiao-Song Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

Abstract

A class of simple Hopfield neural networks with a parameter is investigated. Numerical simulations show that the simple Hopfield neural networks can display chaotic attractors and periodic orbits for different parameters. The Lyapunov exponents are calculated, the bifurcation plot and several important phase portraits are presented as well.

Keywords

Periodic Orbit Lyapunov Exponent Phase Portrait Chaotic Attractor Double Period Bifurcation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yan Huang
    • 1
    • 2
  • Xiao-Song Yang
    • 1
  1. 1.Department of MathematicsHuazhong University of Science and TechnologyWuhanP.R. China
  2. 2.Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhanP.R. China

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