具有时滞和时变系数的Cohen-Grossberg神经网络的收敛性  

Convergence of Cohen-Grossberg Neural Networks with Delays and Time-varying Coefficients

作　　者：张复兴[1] 厉亚[2] 

机构地区：[1]邵阳学院数学系,中国邵阳422000 [2]湖南大学期刊社,中国长沙410082

出　　处：《湖南师范大学自然科学学报》2008年第1期6-9,共4页Journal of Natural Science of Hunan Normal University

基　　金：国家自然科学基金资助项目(10371034);湖南省普通高等学校教学改革研究资助项目(湘教通[2007]230号)

摘　　要：利用数学分析方法,讨论了具有时滞时变系数的Cohen-Grossberg神经网络的收敛性,给出了确保网络的所有解指数收敛于零点的充分条件,补充了已有的结论.By using mathematical analysis technique, the convergence behavior of Cohen-Grossberg neural networks with delays and time-varying coefficients are considered. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to zero point, which are new and complement of previously known results.

关 键 词：时滞 Cohen-Grossherg神经网络 指数收敛 时变系数 

分 类 号：O175[理学—数学]