Stability of general neural networks with reaction-diffusion  

作　　者：廖晓昕 杨叔子 程时杰 付予力 

机构地区：Huazhong University of Science and Technology,Wuhan 430074,China[1] South China University of Technology,Guangzhou 510640,China[2]

出　　处：《Science in China(Series F)》2001年第5期389-395,共7页中国科学（F辑英文版）

基　　金：This work was supported by the National Natural Science Foundation of China (Grant No. 69874016); National Key Basic Research Special Fund (Grant No. G1998020319) and 95-Pandeng Project (Grant No. PD9521907).

摘　　要：By constructing average Lyapunov functions, general neural networks (Cohen-Gross-berg's model) with reaction-diffusion are analyzed. A series of constructively algebraic criteria are presented. And, the existing results are included as the special cases of our results.By constructing average Lyapunov functions, general neural networks (Cohen-Gross-berg's model) with reaction-diffusion are analyzed. A series of constructively algebraic criteria are presented. And, the existing results are included as the special cases of our results.

关 键 词：REACTION-DIFFUSION neural network stability. 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]