Abstract
In this paper, we study the almost surely asymptotic stability of neutral stochastic neural networks with multiple time-varying delays. By using Lyapunov-Krasovskii and linear matrix inequality approach, we obtain some sufficient conditions to ensure the stability of neutral stochastic neural networks. The results are show to be generalizations of some previously published results and are less conservative than existing results.
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