Periodic oscillation of discrete-time bidirectional associative memory neural networks

  • Authors:
  • Hongyong Zhao; Li Sun;Guanglan Wang

  • Affiliations:
  • Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China;Department of Mathematics, Xinjiang Institute of Finance and Economics, Urmuqi 830012, PR China;College of Continuing Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China

  • Venue:
  • Neurocomputing
  • Year:
  • 2007

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Abstract

In this paper, a discrete-time bidirectional associative memory neural networks model is considered. By employing the theory of coincidence degree and using Halanay-type inequality technique we give some sufficient conditions ensuring the existence and globally exponential stability of periodic solutions for the discrete-time bidirectional neural networks. An example with the numerical simulations is provided to show the correctness of our analysis.