The Web Classification Based on ROUGH-GA-BP

摘要：

The shortcomings of the BP algorithm are analyzed, and a text classification algorithm based on roughGA-BP is constructed by combining the genetic algorithm with the rough sets theory. This algorithm reduces the data of the text input vector by the data reduction method based on rough sets theory, and presenting a genetic algorithm approach for feature selection. Experimental results indicate this method is more effective than traditional methods.

关键词： Text Classification Algorithm ROUGH-GA-BP Data Reduction

作者: Long Zhen Duan Zhi Xin Zou Gui Fen Wang

作者单位: Department of Computer Application Technology, Nan Chang University,Jiang Xi, China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)

会议地点: 广州

会议语种:英文

页码: 1037-1040

在线出版日期: 2011-11-18（万方平台首次上网日期，不代表论文的发表时间）