International Journal of Computational Intelligence Research
  • Year: 2006
  • Volume: 2
  • Issue: 1

Exponential stability of stochastic recurrent neural network with time delays

  • Author:
  • Wenli Zhu1, Jin Hu2
  • Total Page Count: 3
  • Page Number: 53 to 55

1Department of Economic Mathematics, South Western University of Finance and Economics, Chengdu 610074, P.R. China. E-mail: zhuwl@swufe.edu.cn

2College of Science, Chongqing Jiaotong University, Chongqing 400074, P.R. China. E-mail: windyvictor@163.com

Abstract

This paper studies the exponential stability of a class of stochastic recurrent neural networks with time delays. By using Lyapunov function method and some analytical techniques, some new criteria on mean square exponential stability are obtained.

Keywords

stochastic recurrent neural networks, Itô's formula, Lyapunov function, mean square exponential stability