Global attracting set for non-autonomous neutral type neural networks with distributed delays

Authors:
Lingying Teng;Daoyi Xu
Affiliations:
Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, PR China and College of Computer Science and Technology, Southwest University for Nationalities, Chengdu 610041, PR China;Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, PR China
Venue:
Neurocomputing
Year:
2012

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Abstract

This paper deals with the asymptotic properties of a class of nonlinear and non-autonomous neutral type neural networks with distributed delays. By developing a new integral inequality and using the properties of nonnegative matrix, we obtain the sufficient conditions for the existence of the global attracting set of the considered delayed neural networks. The results have extended and improved the related reports in the literature and the algebra criteria are easy to check and apply in practice.