Global exponential stability of delayed Hopfield neural networks
Neural Networks
Journal of Computational and Applied Mathematics
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This paper is concerned with the mean square stability for stochastic delayed Hopfield neural networks with Markovian switching The sufficient conditions to guarantee the exponential stability in mean square of an equilibrium solution are given Moreover, we give the mean square stability of the numerical method The result shows that the numerical method shares the stability of the true solution.