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Cohen-Grossberg神经网络周期解的全局稳定性
引用本文:任昌磊,王利利.Cohen-Grossberg神经网络周期解的全局稳定性[J].复旦学报(自然科学版),2007,46(2):229-234.
作者姓名:任昌磊  王利利
作者单位:复旦大学,数学科学学院,上海,200433
基金项目:Acknowledgments We would like to express our special thanks to Professor Chen Tianping for his instruction and help.
摘    要:讨论了Cohen-Grossberg神经网络周期解的存在性和全局指数稳定性.讨论的模型非常综合,包含了大部分的模型,利用的条件非常弱,取得的结果非常简洁.

关 键 词:Cohen-Grossberg  神经网络  周期解  全局收敛
文章编号:0427-7104(2007)02-0229-06
修稿时间:2006-01-06

New Conditions on Global Stability of Periodic Solutions for Cohen-Grossberg Neural Networks
REN Chang-lei,WANG Li-li.New Conditions on Global Stability of Periodic Solutions for Cohen-Grossberg Neural Networks[J].Journal of Fudan University(Natural Science),2007,46(2):229-234.
Authors:REN Chang-lei  WANG Li-li
Institution:School of Mathematical Sciences, Fudan University, Shanghai 200433, China
Abstract:The existence and global stability of periodic solution for Cohen-Grossberg neural networks with periodic interconnections and inputs are discussed . The model is very general, the conditions are quite weak and the results obtained are universal.
Keywords:Cohen-Grossberg  neural network  periodic solution  global convergence
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