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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 540951, 7 pages
http://dx.doi.org/10.1155/2013/540951
Research Article

Novel Global Exponential Stability Criterion for Recurrent Neural Networks with Time-Varying Delay

1School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
2Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China
3School of Computer Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China

Received 15 October 2012; Accepted 3 January 2013

Academic Editor: Massimo Furi

Copyright © 2013 Wenguang Luo 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.

How to Cite this Article

Wenguang Luo, Xiuling Wang, Yonghua Liu, and Hongli Lan, “Novel Global Exponential Stability Criterion for Recurrent Neural Networks with Time-Varying Delay,” Abstract and Applied Analysis, vol. 2013, Article ID 540951, 7 pages, 2013. doi:10.1155/2013/540951