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.