Global mean square exponential synchronization of stochastic neural networks with time-varying delays

Abstract

In this paper, we study the global mean square exponential synchronization of stochastic neural networks with time-varying delays (MSDNN). Two types of control scheme are served to synchronize a sort of MSDNN. A variety of synchronization qualifications depended on system structure are established by the means of Lyapunov function and itô formula. Some statistical examples are supplied to authenticate the results.