Research on Optimization Method of Extreme Learning Machine with Application of Information Technology

被引：1

作者：

Zhang, Zhifeng ^{[1
]}

Gan, Cheng ^{[2
]}

Ding, Xiaojian ^{[3
]}

Cai, Zengyu ^{[4
]}

机构：

[1] Zhengzhou Univ Light Ind, Software Engn Coll, Zhengzhou 450000, Henan, Peoples R China

[2] Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou 450002, Herts, Peoples R China

[3] Nanjing Sci & Technol, Informat Syst Engn Lab, Nanjing 210000, Jiangsu, Peoples R China

[4] Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou 450002, Herts, Peoples R China

来源：

ADVANCED RESEARCH ON CIVIL ENGINEERING, MATERIALS ENGINEERING AND APPLIED TECHNOLOGY | 2014年 / 859卷

关键词：

extreme learning machine; support vector machine; generalization ability; NETWORKS;

D O I：

10.4028/www.scientific.net/AMR.859.23

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Based on the research of extreme learning machine and support vector machine, this paper does the research on the optimization method on extreme learning machine. This paper suggests an optimization model of extreme learning machine based on the improvement of the old model, and this model has obvious improvement on generalization ability and learning parameter ability. This approach can improve the development efficiency in the information technology, the experiment indicate this approach is efficient.

引用

页码：23 / +

页数：2

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