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.
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).
