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Cohen-Grossberg神经网络稳定性分析
引用本文:武怀勤,秦雷杰,石蕊,冯涛,贺丽君.Cohen-Grossberg神经网络稳定性分析[J].辽宁工程技术大学学报(自然科学版),2011,30(3):451-454.
作者姓名:武怀勤  秦雷杰  石蕊  冯涛  贺丽君
作者单位:燕山大学理学院,河北秦皇岛,066004
基金项目:中国河北省教育基金资助项目(2009157)
摘    要:为了研究具有逆Lipschitz激励函数的Cohen-Grossberg神经网络的稳定性,应用Brouwer拓扑度性质和线性矩阵不等式技术,探讨了Cohen-Grossberg神经网络的平衡点的存在性及唯一性。通过构造合适的Lyapunov函数和利用Lyapunov对角稳定性矩阵,给出了唯一平衡点全局指数稳定的充分条件。

关 键 词:神经网络  Cohen-Grossberg模型  逆Lipschitz函数  Brouwer拓扑度  稳定性分析

Stability analysis criterion for Cohen-Grossberg neural networks
WU Huaiqin,QIN Leijie,SHI Rui,FENG Tao,HE Lijun.Stability analysis criterion for Cohen-Grossberg neural networks[J].Journal of Liaoning Technical University (Natural Science Edition),2011,30(3):451-454.
Authors:WU Huaiqin  QIN Leijie  SHI Rui  FENG Tao  HE Lijun
Institution:QIN Leijie,WU Huaiqin,SHI Rui,FENG Tao,HE Lijun(College of Science,Yanshan University,Qinhuangdao 066004,China)
Abstract:The purpose of this study is to present a novel class of Cohen-Grossberg neural networks with inverse-Lipschitz neuron activation functions.By employing the Brouwer degree properties and linear matrix inequality techniques,the existence and uniqueness of equilibrium point for Cohen-Grossberg neural networks are investigated.With the construction of appropriate Lyapunov functions and the application of Lyapunov diagonally stable matrices;this study provides a sufficient condition which is used to check the g...
Keywords:neural networks  Cohen-Grossberg model  non-lipschitz functions  brouwer degree  stability analysis  
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