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ON GLOBAL ROBUST STABILITY FOR INTERVAL HOPFIELD NEURAL NETWORKS WITH TIME DELAY
引用本文:王林山,高玉英. ON GLOBAL ROBUST STABILITY FOR INTERVAL HOPFIELD NEURAL NETWORKS WITH TIME DELAY[J]. Annals of Differential Equations, 2003, 0(3)
作者姓名:王林山  高玉英
作者单位:Dept. of Math.,Liaocheng University,Liaocheng 252059 Dept. of Math.,Ocean University of China,Qingdao 226071,Chemical College,Anshan University of Science and Technology,Anshan 114000
基金项目:This paper was supported in part by the National Natural Science Foundation of China under Grant 10171072.
摘    要:The theorem obtained by Liao was not true (see [2]). So, this paper presents some criteria of global robust stability for interval Hopfield neural networks with time delay. The methods to judge the robust stability are practical and easily verifiable.


ON GLOBAL ROBUST STABILITY FOR INTERVAL HOPFIELD NEURAL NETWORKS WITH TIME DELAY
Wang Linshan. ON GLOBAL ROBUST STABILITY FOR INTERVAL HOPFIELD NEURAL NETWORKS WITH TIME DELAY[J]. 微分方程年刊(英文版), 2003, 0(3)
Authors:Wang Linshan
Abstract:The theorem obtained by Liao was not true (see [2]). So, this paper presents some criteria of global robust stability for interval Hopfield neural networks with time delay. The methods to judge the robust stability are practical and easily verifiable.
Keywords:neural networks   equilibrium point   robust stability   topological degree
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