Abstract

In this paper, pth moment exponential synchronization of stochastic Cohen-Grossberg neural networks with continuously distributed delays is considered. By applying the method of variation parameter, inequality techniques and stochastic analysis, some sufficient conditions to ensure pth moment exponential synchronization of stochastic Cohen-Grossberg neural networks with continuously distributed delays are obtained. These results generalize some previous known results. Furthermore, an examples are given to illustrate the efficiency of our results.

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