%0 Journal Article
%T Estimation of attraction domain and exponential convergence rate for high order Hopfield type neural networks<br>高阶Hopfield型神经网络的吸引域和指数收敛速度的估计
%A Xu Bingji
%A Zhou Lun
%A Liao Xiaoxin
%A Liu Xinzhi
%A <br>徐炳吉
%A 周伦
%A 廖晓昕
%A 刘新芝
%J 电子与信息学报
%D 2002
%I 
%X In this paper, the locally exponential stability of equilibrium point for a class of high order Hopfield type neural networks is studied by means of Lyapunov function. Some results about estimation of the attraction domain and exponential convergence rate of the network trajectories to equilibrium point of such networks are obtained.
%K High order neural networks
%K Attraction domain
%K Exponential convergence rate<br>高阶Hopfield型神经网络
%K 吸引域
%K 指数收敛速度
%K 估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=DDDE89B7DFCFBB2B&yid=C3ACC247184A22C1&vid=B91E8C6D6FE990DB&iid=94C357A881DFC066&sid=93661EC4C0CCEA67&eid=2E4E3741E8FB64E9&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9