mean square exponential stability of impulsive stochastic reaction-diffusion cohen–grossberg neural networks with delays

in this paper, we establish a method to study the mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion cohen–grossberg neural networks with delays. by using the properties of m-cone and inequality technique, we obtain some sufficient conditions ensuring mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion cohen–grossberg neural networks with delays. the sufficient conditions are easily checked in practice by simple algebra methods and have a wider adaptive range. two examples are also discussed to illustrate the efficiency of the obtained results.