Paper Title:
The Web Classification Based on ROUGH-GA-BP
  Abstract

The shortcomings of the BP algorithm are analyzed, and a text classification algorithm based on rough-GA-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.

  Info
Periodical
Advanced Materials Research (Volumes 328-330)
Chapter
Chapter 2: Material Science and Technology
Edited by
Liangchi Zhang, Chunliang Zhang and Zichen Chen
Pages
1037-1040
DOI
10.4028/www.scientific.net/AMR.328-330.1037
Citation
L. Z. Duan, Z. X. Zou, G. F. Wang, "The Web Classification Based on ROUGH-GA-BP", Advanced Materials Research, Vols. 328-330, pp. 1037-1040, 2011
Online since
September 2011
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Price
$32.00
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