%0 Journal Article
%T Fast algorithm for diagonal recurrent neural networks control system<br>一种快速对角回归神经网络控制算法
%A HU Hong-jie
%A ER Lian-jie
%A LIU Jin-kun
%A <br>扈宏杰
%A 尔联洁
%A 刘金琨
%J 控制理论与应用
%D 2002
%I 
%X Convergence Theorem 1 in Ref. was given for three layers diagonal recurrent neural networks (DRNN) by introducing a Lyapunov function. Because the essential condition to Theorem 1 was neglected upper limits of learning rates for every weight vectors and matrix were not attained. Much bigger learning rates of all weight vectors and matrix are deduced precisely on the basis of convergence theorem 1 in Ref. , so a fast iterative algorithm is obtained. Simulation results are included.
%K DRNN
%K adaptive learning rate
%K weight vector and weight matrix
%K convergence<br>对角回归神经网络
%K 自适应学习速率
%K 权向量及权矩阵
%K 收敛性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=16F3CAD4BD7108CA&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=583C993D4E08F5CE&eid=5E191A234CD3698F&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=4&reference_num=2