%0 Journal Article
%T Modified BP Network in Breaking Away from Flat Areas Effectively<br>一种有效脱离平坦区的改进BP网络
%A LIU Le
%A WANG Hong-guo
%A WANG Xin
%A WANG Bao-wei
%A <br>刘乐
%A 王洪国
%A 王鑫
%A 王宝伟
%J 计算机科学
%D 2008
%I 
%X This paper proposes a new rule to adjust the weight value,which ensures enough weight adjusted range when the output of neuron is close to 0 or 1.The new rule solves a difficult problem for standard BP network to break away from the flat area when it has entered,here its training speed is very slow.A experiment which uses a BPnetwork with single hidden layer to approximate a nonlinear function is presented in the paper.It verifies the superiority of the new rule in the training speed,and draws a conclusion ...
%K Flat area
%K S-type function
%K Gradient descent<br>平坦区
%K S型函数
%K 梯度下降
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=C56E0EB42E9407D304EF66920D03376F&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=DF92D298D3FF1E6E&sid=6700D0D256586E73&eid=10F298ED9F164662&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9