%0 Journal Article
%T Nonlinear robust partial least squares based on projection pursuit and its application<br>基于投影寻踪的非线性鲁棒偏最小二乘法及应用
%A JIA Run-d
%A MAO Zhi-zhong
%A CHANG Yu-qing
%A ZHOU Jun-wu
%A <br>贾润达
%A 毛志忠
%A 常玉清
%A 周俊武
%J 控制理论与应用
%D 2010
%I 
%X Data from industrial field usually possess nonlinear feature and contain outliers;modeling with nonlinear partial least squares(PLS) method may suffer from these outliers. For this case, combining with radial basis function(RBF) networks, we present a nonlinear robust PLS method based on the projection pursuit. First, the nonlinear relationship between independent and dependent variables is changed into a linear one by RBF transformation. Then, projection pursuit algorithm is employed to extract the robust ...
%K radial basis function
%K projection pursuit
%K partial least squares
%K robustness
%K nonlinear<br>径向基函数
%K 投影寻踪
%K 偏最小二乘法
%K 鲁棒性
%K 非线性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=2D21AD15FEC2345CA118A7830229572D&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=AFB2C35009D5D191&eid=0BD4FAD4A90498AB&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=15