Stability of general neural networks with reaction-diffusion

作     者：廖晓昕 杨叔子 程时杰 付予力 

作者机构：Huazhong University of Science and TechnologyWuhan 430074China 

出 版 物：《Science in China(Series F)》 (中国科学（F辑英文版）)

年 卷 期：2001年第44卷第5期

页      面：389-395页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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) 

主　　题：reaction-diffusion neural network stability. 

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.