A class of stochastic Hopfield neural networks with expectations in coefficients

This paper considers a class of stochastic Hopfield type neural networks with time-varying delays. Based on the architecture of neural networks, expectations are introduced into coefficients of the model we considered. By applying the M-matrix technique, the mean square exponential stability is studied. An example is provided to illustrate the effectiveness of our results.