%0 Journal Article
%T Selective Neural Network Ensemble with Bias<br>带偏置的选择性神经网络集成构造方法
%A WANG Zheng-Qun
%A CHEN Shi-Fu
%A CHEN Zhao-Qian
%A <br>王正群
%A 陈世福
%A 陈兆乾
%J 计算机科学
%D 2005
%I 
%X Neural network ensemble is a learning paradigm, which integrates many neural networks into an ensemble to solve a problem jointly. In this paper, the relationship between the ensemble and its component neural networks is analyzed and a novel approach for the construction of the selective neural network ensemble with bias is proposed. The genetic algorithm is used to select part of the trained individual networks to be integrated and the bias is deter- mined to correct the combination of the ensemble simultaneously. Theoreticalanalysis and experimental results show that this approach allows one to design effective neural network ensemble.
%K Neural networks
%K Neural network ensembles
%K Machine learning
%K Optimization<br>神经网络集成
%K 构造方法
%K 偏置
%K 神经网络系统
%K 泛化能力
%K 算法选择
%K 个体
%K 训练
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=94C5F50CAF36D86E&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=DF92D298D3FF1E6E&sid=04445C1D2BDA24EE&eid=7CE3F1F20DE6B307&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11