%0 Journal Article
%T Feature Extraction-based Selective Neural Network Ensemble Method<br>基于特征提取的选择性神经网络集成方法
%A ZHU Bang-Zhu
%A <br>朱帮助
%J 计算机科学
%D 2008
%I 
%X In order to solve the problems of the existing research methods in input attribute,ensemble fashion and ensemble form,a novel selective & nonlinear neural network ensemble method,i.e. NSNNEIPCABag,is proposed in this paper. In this model,some different training subsets are first generated by Bagging algorithm. Then the feature extraction technique,improved principal component analysis (IPCA),is used to extract the data feature for training individual networks,and to select the appropriate number of ensemble...
%K Ensemble learning
%K Neural network ensemble
%K Nonlinear ensemble
%K Selective ensemble
%K Feature extraction<br>集成学习
%K 神经网络集成
%K 非线性集成
%K 选择性集成
%K 特征提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D4BF184F004EBFE1D5B7FF4453E2D17C&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=7C72DBC13F2D71EC&eid=76B5E24D6EC46B4B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10