J4 ›› 2012, Vol. 50 ›› Issue (06): 1086-1090.

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Global Exponential Stability of ReactionDiffusionBAM Neural Networks

RAO Ruofeng1, HUANG Jialin1, ZHONG Shouming1,2   

  1. 1. Department of Mathematics, Yibin University, Yibin 644007, Sichuan Province, China;2. School of |Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2012-01-19 Online:2012-11-26 Published:2012-11-26
  • Contact: HUANG Jialin E-mail:jialinh2880@163.com

Abstract:

A global exponential stability judging theorem was given via  topological degree technique, Mmatrix theory and variational methods, in which the reactiondiffusion item is considered. Our estimation of the convergent rate is more accurate than that of traditional estimation, and a numerical example  shows the efficiency of the theorem.

Key words: global exponential stability, BAM neural networks, reactiondiffusion, timedelays

CLC Number: 

  • O175.13