Abstract
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This paper mainly deals with the almost surely exponential stability and exponential p-th moment stability for a class of stochastic Cohen?Grossberg neural networks with distributed delays and reaction?diffusion term. By constructing suitable Lyapunov functional, employing the nonnegative semi-martingale convergence theorem and applying matrix theory and stochastic analysis technique, two delay-independent and easily verifiable sufficient conditions are obtained to ensure the existence, uniqueness, almost surely exponential stability and exponential p-th moment stability of the equilibrium point for the addressed stochastic Cohen-Grossberg neural network with distributed delays and reaction-diffusion terms.
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