Volume 2, Number 1 (2006)

Exponential stability of stochastic recurrent neural network with time delays

Zhu Wenli
Department of Economic Mathematics, South Western University of Finance and Economics, Chengdu 610074, P.R. China

Hu Jin
College of Science, Chongqing Jiaotong University, Chongqing 400074, P.R. China

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.

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