文章基本信息

标题：An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets
本地全文：下载
作者：Zhang, Yanan ; Ding, Shifei ; Xu, Xinzheng 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2013
卷号：8
期号：5
页码：1335-1342
DOI：10.4304/jcp.8.5.1335-1342
语种：English
出版社：Academy Publisher
摘要：As is known, the extreme learning machine (ELM) algorithm is a new learning algorithm for the single hidden layer feedforward neural networks (SLFNs). This paper combines rough sets theory with extreme learning machine and proposes a new prediction algorithm of extreme learning machines based on rough sets theory. Firstly, using the rough sets theory to do attribute reduction, and then using ELM to train and predict the new datasets. Verified by the final experimental results and data analysis we know that compared with the traditional ELM the proposed algorithm has higher prediction accuracy and better efficiency.
关键词：extreme learning machine;rough sets;attribution reduction