数学杂志2002，Vol.22Issue(4)：391-396,6.
具无限变时滞的神经网络的稳定性分析
STABILITY ANALYSIS OF NEURAL NETWORKS WITH INFINITE TIME-VARYING DELAY
摘要
Abstract
This paper studies the globally exponential stability of the neural network withinfinite time-varying delay. Assuming that the input-output neuron activation functions arebounded and satisfy the global Lipschitz condition, some sufficient conditions of the globallyexponential stability of unique equilibrium of the neural network are derived. And this paperimproves the results of some existed literatures without time-delay.关键词
无限变时带/神经网络/指数稳定Key words
infinite time-varying delay/neural network/exponential stability分类
数理科学引用本文复制引用
曾志刚,傅朝金,廖晓昕..具无限变时滞的神经网络的稳定性分析[J].数学杂志,2002,22(4):391-396,6.基金项目
supported by the National Science Foundation (60074008), National Doctoral Foundation of China, and Significant Academic Foundation Foundation of Education Department of Hubei Province(2001Z06003) （60074008）
