Discrete Dynamics in Nature and Society
Volume 2009 (2009), Article ID 415786, 14 pages
doi:10.1155/2009/415786
Periodic solutions and exponential stability of a class of neural networks with time-varying delays
Yingxin Guo1
and Mingzhi Xue2
1Department of Mathematics, Qufu Normal University, Qufu 273165, Shandong, China
2Department of Mathematics, Shangqiu Normal University, Shangqiu 476000, Henan, China
Abstract
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.