Neural network ensemble based on feature selection

被引：0

作者：

Lin Jian ^{[1
]}

Zhu Bangzhu ^{[1
]}

机构：

[1] Wuyi Univ, Inst Syst Sci & Technol, Jiangmen, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7 | 2007年

基金：

中国国家自然科学基金;

关键词：

neural network ensemble; feature selection; ecnmomic forecasting;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a novel neural network ensemble model, i.e. NNEIPCABag, which combines the feature selection technique, the improved principal component analysis (IPCA), with the Bagging method, is presented. Then the proposed model is employed for time series forecasting with the favor results obtained, which shows that the generalization ability of the proposed model can be superior to that of neural network ensemble only with the Bagging method, i.e. NNEBag.

引用

页码：2432 / +

页数：2

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