Exponential stability of stochastic cohen-grossberg neural networks with time-varying delays

  • Authors:
  • Xiaolin Li;Jinde Cao

  • Affiliations:
  • Department of Mathematics, Southeast University, Nanjing, China;Department of Mathematics, Southeast University, Nanjing, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, the exponential stability is discussed for a class of stochastic Cohen-Grossberg neural networks with time-varying delays. A set of novel sufficient conditions on exponential stability are given for the considered system by using the well-known Razumikhin-type theorem. A numerical example is also given to illustrate the effectiveness of our results.