%0 Journal Article
%T Research and implementation of RBFNN classification algorithm for digital signal modulation recognition<br>数字信号调制识别的RBFNN分类器算法研究与实现
%A LI Yuan-min
%A JIANG Hua
%A LI Xia
%A <br>李园敏
%A 江桦
%A 李霞
%J 计算机应用
%D 2009
%I 
%X A new Radial Basis Function Neural Network(RBFNN) classification algorithm for the digital signal modulation recognition was proposed.Subtraction clustering algorithm and Least Mean Square(LMS) algorithm were used to adaptively train the number and location of the hidden layer center and the weight coefficient of output layer considering all the characteristic parameters,and the best interface in the multi-dimensional space could be found.Meanwhile,the blindness and randomness of the number and position of ...
%K Radial Basis Function Neural Network (RBFNN)
%K subtraction clustering
%K Least Mean Square (LMS) algorithm<br>径向基函数神经网络
%K 减法聚类
%K 最小均方算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=D013B540154ED565C177B443D545DE4C&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=B3645A659773B73C&eid=FE6645F2371CA43C&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8