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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 154036, 6 pages
http://dx.doi.org/10.1155/2014/154036
Research Article

Stability of Delayed Hopfield Neural Networks with Variable-Time Impulses

1School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
2College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400050, China

Received 3 April 2014; Accepted 22 July 2014; Published 1 September 2014

Academic Editor: Chuandong Li

Copyright © 2014 Yangjun Pei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper the globally exponential stability criteria of delayed Hopfield neural networks with variable-time impulses are established. The proposed criteria can also be applied in Hopfield neural networks with fixed-time impulses. A numerical example is presented to illustrate the effectiveness of our theoretical results.