Anti-periodic solutions for high-order neural networks with mixed time delays

  • Authors:
  • Xiaofeng Chen;Qiankun Song

  • Affiliations:
  • Department of Mathematics, Chongqing Jiaotong University, Chongqing, China;Department of Mathematics, Chongqing Jiaotong University, Chongqing, China

  • Venue:
  • ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
  • Year:
  • 2011

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Abstract

In the paper, the problem on the stability of anti-periodic solutions is investigated for high-order neural networks with discrete and distributed time delays. Several sufficient conditions for checking the existence, uniqueness and global exponential stability of anti-periodic solution for the considered neural networks are given. A numerical example is given to show its effectiveness.