%0 Journal Article
%T Globally exponential stability of stochastic neural networks with delay<br>随机时滞神经网络的全局指数稳定性
%A ZHAO Bi-rong
%A JIANG Ming-hui
%A SHEN Yi
%A <br>赵碧蓉
%A 江明辉
%A 沈 轶
%J 控制理论与应用
%D 2005
%I 
%X Firstly,the asymptotic property of general stochastic system is discussed,and then the global exponential stability of a class of stochastic neural networks with delay is analyzed by making use of the characteristic of neural network and the Lyapunov second method.New algebraic criteria that can be easily used to verify the almost exponential stability of the stochastic neural networks with delay are proposed.An example is given for illustration.
%K neural network
%K delay
%K Lyapunov function<br>神经网络
%K 时滞
%K 李雅普诺夫函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=E1A86DF23EB4129C&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=94C357A881DFC066&sid=5EEA08EFB4616D1C&eid=0018E43E61963A72&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=2&reference_num=7