Ezponential stability of Cohen-Grossberg neural networks with delays and impulses

摘要：

In this paper, the exponential stability of the equilibrium point of a group of Cohen-Grossberg neural networks is obtained by using Lyapunov method and Razumikhin technique.

关键词： Neural networks Global ezponential stability Cohen-Grossberg model

作者: Qing Tang Anping Liu Huijuan Li Ting Liu

作者单位: School of Mathematics and Physics China University of Geoscience Wuhan,China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 144-147

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）