|Table of Contents|

E-mail Information Classifier of Neural Network Based on Genetic Algorithm Optimization

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2008年01期
Page:
78-82
Research Field:
Publishing date:

Info

Title:
E-mail Information Classifier of Neural Network Based on Genetic Algorithm Optimization
Author(s):
YUAN Jia-binPU Hai-chen
College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
Keywords:
e-mail information classifiers feature selection genetic algorithms artificial neural network
PACS:
TP183;TP393.098
DOI:
-
Abstract:
Combined with the research on Anti-Spam technology,the feature selection algorithm in pretreatment of e-mail information and the method of applying machine learning technology to digital information classifier is analyzed.In view of the problem that mail message eigenvector is so huge,GACHI feature selection algorithm as pretreatment of information is proposed.It transforms complicated e-mail information into the form which can be easily managed by machine learning.In order to further enhance the effectiveness of Chinese e-mail classification,e-mail information classifier based on BP neural network adopts genetic algorithm to optimize itself.Experimental analysis of the system shows that the method described in the paper can effectively realize the classification of the e-mail information.

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Last Update: 2012-12-05