%0 Journal Article
%T Study on global exponential stability of neural networks and its convergence estimate<br>神经网络指数稳定性分析及收敛率估计
%A Tan Xiaohui
%A Zhang Jiye
%A Yang Yiren
%A <br>谭晓惠
%A 张继业
%A 杨翊仁
%J 电子与信息学报
%D 2003
%I 
%X In this paper, the existence, uniqueness and global exponential stability of the equilibrium point of a class of Hopfield neural networks are investigated by using Liapunov direct method. Lipschitz continuous activations are considered and the limit on self-feedback is released. It can be nonlinear instead of linear in this paper. And under this condition, some sufficient conditions and convergence estimate for global exponential stability of neural networks are obtained.
%K Neural networks
%K Global exponential stability
%K Liapunov direct method<br>神经网络
%K 全局指数稳定性
%K 李雅普诺夫直接方法
%K 收敛率估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=56C3A60CAB8925CD&yid=D43C4A19B2EE3C0A&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=700C99D38A660C7C&eid=29BFCA84676506CC&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=15