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THE STABILITY OF A KIND OF DISCRETE-TIME HOPFIELD NEURAL NETWORKS WITH ASYMPTOTICAL WEIGHTED MATRICES
作者姓名:Guo  Shujuan  Ruan  Jiong  Tu  Qingwei
作者单位:Dept. of Informal Science,Jiangsu Polytechnic University,Changzhou 213164; Dept. of Math.,Fudan University,Shanghai 200433
摘    要:In this paper, the authors analyze the stability of a kind of discrete-time Hopfield neural network with asymptotical weighted matrix, which can be expressed as the product of a positive definite diagonal matrix and a symmetric matrix. We obtain that it has asymptotically stable equilibriums if the network is updated asynchronously, and asymptotically stable equilibriums or vibrating final stage with 2 period if updated synchronously. To prove these, Lassale's invariance principle in difference equation is applied.

关 键 词:神经网络  Lassale恒定原理  不对称权重矩阵  平衡性

THE STABILITY OF A KIND OF DISCRETE-TIME HOPFIELD NEURAL NETWORKS WITH ASYMPTOTICAL WEIGHTED MATRICES
Guo Shujuan Ruan Jiong Tu Qingwei.THE STABILITY OF A KIND OF DISCRETE-TIME HOPFIELD NEURAL NETWORKS WITH ASYMPTOTICAL WEIGHTED MATRICES[J].微分方程年刊(英文版),2006,22(4):489-495.
Authors:Guo Shujuan Ruan Jiong Tu Qingwei
Institution:[1]Dept. of Informal Science, Jiangsu Polytechnic University, Changzhou 213164 [2]Dept. of Math., Fudan University, Shanghai 200433
Abstract:In this paper, the authors analyze the stability of a kind of discrete-time Hopfield neural network with asymptotical weighted matrix, which can be expressed as the product of a positive definite diagonal matrix and a symmetric matrix. We obtain that it has asymptotically stable equilibriums if the network is updated asynchronously, and asymptotically stable equilibriums or vibrating final stage with 2 period if updated synchronously. To prove these, Lassale's invariance principle in difference equation is applied.
Keywords:Hopfield neural network  Lassale's invariance principle  asymmetric weighted matrix  equilibriums  asymptotic stable  vibration
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