关键词: 指数增长, 多项式增长, 马氏链, Cohen-Grossberg神经网络

Abstract: In this letter,we will show that noise can make a given Cohen-Grossberg neural networks whose solution may grows exponentially become the new stochastic Cohen-Grossberg neural networks whose solution will grow at most polynomially.In other words,we reveal that the noise can suppress the exponential growth for Cohen-Grossberg neural networks.

Key words: Exponential growth, Polynomial growth, Markov chain, Cohen-Grossberg neural networks