文献类型：会议论文

英文题名：Stability of Hopfield Neural Networks with Time-Varying Delay

作者：Xiao, Huimin[1]

第一作者：肖会敏

通讯作者：Xiao, HM[1]

机构：[1]Henan Univ Finance & Econ, Informat Sch, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]corresponding author), Henan Univ Finance & Econ, Informat Sch, Zhengzhou 450002, Peoples R China.|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

会议论文集：6th International Symposium on Neural Networks

会议日期：MAY 26-29, 2009

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：Stability; time-delay; neural networks; Lyapunov functions

摘要：In this paper, the stability of Hopfield Neural Networks with Time-Varying Delay is investigated by means of Lyapunov functions and the generalized Halanay delay differential inequality. The obtained results are the algebraic criteria entirely and are obviously practical