Affiliation:
1. Department of Math, Nanchang University, Nanchang, Jiangxi Province 330031, China
Abstract
In this paper, we consider the input-to-stability for a class of stochastic neutral-type memristive neural networks. Neutral terms and S-type distributed delays are taken into account in our system. Using the stochastic analysis theory and Itô formula, we obtain the conditions of mean-square exponential input-to-stability for system. A numerical example is given to illustrate the correctness of our conclusions.
Funder
National Natural Science Foundation of China
Subject
General Engineering,General Mathematics
Cited by
2 articles.
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