%0 Journal Article
%T WAVELET KERNEL FUNCTION NETWORK<br>子波核函数网络
%A ZHANG Li
%A ZHOU Wei Da
%A JIAO Li Cheng
%A <br>张莉
%A 周伟达
%J 红外与毫米波学报
%D 2001
%I Science Press
%X A new wavelet kernel function network (WKFN) was proposed as an alternative of support vector machine (SVM). Simulation experiments show that the performance of approximation and recognition of WKFN is equal to that of the corresponding SVM, but gets an advantage over that of a general neural network.
%K support vector machine
%K wavelet kernel function network
%K function approach
%K pattern recognition
%K wavelet neural netwrok<br>支撑矢量机
%K 子波核函数网络
%K 函数逼近
%K 模式识别
%K 子波神经网络
%K 学习机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=D4F72F9688A5CA1C&yid=14E7EF987E4155E6&vid=A04140E723CB732E&iid=38B194292C032A66&sid=E089FDF3CDAE8561&eid=0DEB7A8A66C33AAD&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=8&reference_num=5