Anti-periodic solutions for Cohen-Grossberg shunting inhibitory neural networks with delays

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作者：

Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China ^{[1
]}

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来源：

World Acad. Sci. Eng. Technol. | 2009年 / 878-883期

关键词：

Anti-periodic solutions - Coincidence degree - Coincidence degree theory - Global exponential stability - Lyapunov functionals - Shunting inhibitory cellular neural networks;

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摘要：

By using the method of coincidence degree theory and constructing suitable Lyapunov functional, several sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for Cohen-Grossberg shunting inhibitory neural networks with delays. An example is given to illustrate our feasible results.

引用

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