%0 Journal Article
%T Study on the Fast Learning Algorithm of Single-layer Neural Networks<br>单层神经网络的快速学习算法研究
%A Fang Zhaozhi
%A Huang Zailu
%A Yang Shuzi
%A <br>冯昭志
%A 黄载禄
%A 杨叔子
%J 自动化学报
%D 1997
%I 
%X This paper proposes a new generalized criterion for the training of single layer neural networks, which leads to a novel fast learning algorithm for single layer neural network. In order to analyse the convergent properties of the fast algorithm we developed, a new generalized system identificaton model is also presented. Experiment results show that the fast algorithm proposed in this paper performs the training of neural nework faster than the corresponding learning algorithm given by Karayiannis.
%K Single
%K layer NN
%K fast BP algorithm
%K statistical analysis<br>单层神经网络
%K 快速BP算法
%K SNN
%K FLA
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=FCEBB28D9FA661430125F3CA2F57CBDB&yid=5370399DC954B911&vid=EA389574707BDED3&iid=CA4FD0336C81A37A&sid=68D88C2FCF9C3098&eid=AA76E167F386B6B3&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=0