Dissipativity in mean square of non-autonomous impulsive stochastic neural networks with delays

Authors:
Zhiguo Yang;Zhichun Yang
Affiliations:
College of Mathematics and Software Science, Sichuan Normal University, Chengdu, China;Department of Mathematics, Chongqing Normal University, Chongqing, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

Citing 2
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Abstract

In this paper, we study non-autonomous impulsive stochastic neural networks with delays By establishing an impulsive differential inequality and an L-operator differential inequality and using stochastic analysis technique, we obtain some sufficient conditions ensuring the dissipativity in mean square of non-autonomous impulsive stochastic neural networks with delays The results extend and improve those of the earlier publications An example is also discussed to illustrate the efficiency of the obtained results.