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STABILITY ANALYSIS OF HOPFIELD NEURAL NETWORKS WITH TIME DELAY
作者姓名:王林山  徐道义
作者单位:WANG Lin_shan XU Dao_yi (Mathematics College,Sichuan University,Chengdu 610064,P R China) (Communicated by LI Ji_bin)
基金项目:theNaturalScienceFoundationofChina( 1 983 1 0 3 0 )
摘    要:IntroductionInrecentyearsthedynamicbehaviorofthefollowingHopfieldneuralnetworksmodelwithtimedelayhavebeeninvestigatedthoroughlyCi xi(t) =-xiRi + ∑nj=1Tijfj(xj(t-τij) ) +Ii   (i=1 ,2 ,… ,n) ,( 1 )whereRi,CiandIirepresentresistance ,capacitanceandelectriccurrent.Ri,Ciarepa…

收稿时间:15 August 2000

Stability analysis of Hopfield neural networks with time delay
Wang Lin-shan Professor, Doctor,Xu Dao-yi Professor.STABILITY ANALYSIS OF HOPFIELD NEURAL NETWORKS WITH TIME DELAY[J].Applied Mathematics and Mechanics(English Edition),2002,23(1):65-70.
Authors:Wang Lin-shan Professor  Doctor  Xu Dao-yi Professor
Institution:Mathematics College, Sichuan University, Chengdu 610064, P R China
Abstract:The global asymptotic stability for Hopfield neural networks with time delay was investigated. A theorem and two corollaries were obtained, in which the boundedness and differentiability of f j on R in some articles were deleted. Some sufficient conditions for the existence of global asymptotic stable equilibrium of the networks in this paper are better than the sufficient conditions in quoted articles.
Keywords:neural networks  equilibrium  stability  topological degree
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