Mean square exponential stability and periodic solutions of stochastic interval neural networks with mixed time delays

This paper concerns with the existence and the mean square exponential stability of periodic solutions of stochastic interval neural networks with mixed time delays. By applying Lyapunov functional, inequality technique, Itô,s differential formula and fixed point theorem, the criteria are derived in terms of linear matrix inequalities. Three numerical examples are provided to illustrate the effectiveness of the proposed solutions.