随机混合时滞的Cohen-Grossberg神经网络均方指数稳定性的新判据

Mean square exponential stability of Cohen-Grossberg neural networks with stochastic mixed delays

研究了随机混合时滞的Cohen-Grossberg神经网络的均方指数稳定性,运用了常数变易公式、随机比较原理的方法,得到其均方指数稳定的充分条件,并给出了数值例子来验证结论的有效性和正确性.

In this paper,the mean square exponential stability of Cohen-Grossberg neural networks with stochastic mixed delays is investigated. By using the method of constant variation and the random comparison principle,a sufficient condition ensuring the mean square exponential stability is proved. A numerical example is also given to verify the validity and correctness of the conclusion.