%0 Journal Article
%T Global Stability for Neural Networks with Unbouned Time Varying Delays<br>无界变时滞神经网络全局稳定性
%A CENG Zhi-Gang
%A LIAO Xiao-Cuan
%A <br>曾志刚
%A 廖晓昕
%J 数学物理学报(A辑)
%D 2005
%I 
%X This paper studies the global stability of the neural network with unbounded time-varying delays and time-varying coefficients. Using two kinds of methods, some sufficient conditions have been obtained to guarantee that such neural network is globally stable. Moreover, when time-delay is constant or doesn't exist, the results given in the paper extend the existing relevant stability results in the existing literature.
%K Unbounded time-varying delay
%K Neural networks
%K Global stability<br>无界变时滞
%K 神经网络
%K 全局稳定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=4DB553CDB5F521D8C921082E5C95EC80&aid=1C11902A9A210F64&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=94C357A881DFC066&sid=BA3451F2C9E4FB70&eid=C824C8F9F54AE9B9&journal_id=1003-3998&journal_name=数学物理学报(A辑)&referenced_num=0&reference_num=9