Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay

In this paper, exponential stability of impulsive discrete-time stochastic bidirectional associative memory (BAM) neural networks with time-varying delay is investigated. Two sufficient conditions about exponential stability of this class of BAM neural networks are given by using difference inequalities and Lyapunov function together with Razumikhin technique. Some examples are also presented to illustrate the effectiveness and the advantage of the obtained results.