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Mean square exponential stability of stochastic neural networks with reaction-diffusion terms and delays. (English) Zbl 1213.93200
Summary: Some sufficient conditions ensuring mean square exponential stability of the equilibrium point of a class of stochastic neural networks with reaction-diffusion terms and time-varying delays are obtained. The conditions involving the effect of diffusion terms reduce the conservatism of the previous results. Finally, we give a numerical example to verify the effectiveness of our results.
93E12System identification (stochastic systems)
92B20General theory of neural networks (mathematical biology)
34K40Neutral functional-differential equations
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