%0 Journal Article
%T L-two-gain stability analysis of perturbed Hopfield neural networks<br>受扰Hopfield神经网络L2增益稳定性分析
%A YE Hua-wen
%A DAI Guan-zhong
%A WANG Hong
%A LUO Yong-hong
%A <br>叶华文
%A 戴冠中
%A 王 红
%A 罗永红
%J 控制理论与应用
%D 2002
%I 
%X The gain L 2_stability of perturbed Hopfield neural networks is investigated by using methods of studying finite_gain stability of control systems. Sufficient conditions are provided under which not only L 2_gain stability of perturbed networks but also existence and global asymptotically stability of unique equilibrium of the corresponding unperturbed networks are guaranteed. In addition, the L 2_gain from perturbation to state is estimated, which is formulated by networks'parameters.
%K Hopfield neural networks
%K L
%K 2-gain stability
%K global asymptotically stability<br>受扰Hopfield神经网络
%K L2增益稳定性分析
%K 全局渐近稳定
%K 人工神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=A9CD4CC007B5DD3C&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=E158A972A605785F&sid=FED67FBA0A707330&eid=2C20277AC27E4821&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=15