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Hopfield神经网络的全局指数稳定性
引用本文:谭晓惠,张继业,杨翊仁.Hopfield神经网络的全局指数稳定性[J].西南交通大学学报,2005,40(3):338-342.
作者姓名:谭晓惠  张继业  杨翊仁
作者单位:1. 西南交通大学应用力学与工程系,四川,成都,610031
2. 西南交通大学牵引动力国家重点实验室,四川,成都,610031
基金项目:国家自然科学基金资助项目(10272091)
摘    要:通过引入非线性测度的概念,不要求激励函数连续可微、单调非降或有界,并假设自反馈项为非线性,研究了一类Hopfield神经网络平衡点的存在性、唯一性.得到了全局指数稳定性的判据,并给出了收敛率估计式.

关 键 词:神经网络  指数稳定性  收敛率  非线性测度
文章编号:0258-2724(2005)03-0338-05
收稿时间:2004-04-15
修稿时间:2004-04-15

Global Exponential Stability of Hopfield Neural Networks
TAN Xiao-hui,ZHANG Ji-ye,YANG Yi-ren.Global Exponential Stability of Hopfield Neural Networks[J].Journal of Southwest Jiaotong University,2005,40(3):338-342.
Authors:TAN Xiao-hui  ZHANG Ji-ye  YANG Yi-ren
Institution:1. Dept. of Appl. Mech. and Eng. , Southwest Jiaotong University, Chengdu 610031, China; 2. National Traction Power Lab., Southwest Jiaotong University, Chengdu 610031, China
Abstract:The existence, uniqueness of the equilibrium point of a class of Hopfield neural networks were studied by introducing nonlinear measures. The activation function is nonlinear and not necessary to be continuous, monotone and bounded. Some sufficient conditions and convergence estimation for global exponential stability of neural networks were obtained.
Keywords:neural networks  stability  global stability  nonlinear measures
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