文章基本信息

标题：Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays
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作者：Yingxin Guo ; Mingzhi Xue
期刊名称：Discrete Dynamics in Nature and Society
印刷版ISSN：1026-0226
电子版ISSN：1607-887X
出版年度：2009
卷号：2009
DOI：10.1155/2009/415786
出版社：Hindawi Publishing Corporation
摘要：Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. These results have important leading significance in the design and applications of globally stable neural networks with delays. Our results extend and improve some earlier publications.