DocumentCode :
2309093
Title :
Reseach of information filtering model based on BP artificial neural network And Genetic Algorithm
Author :
Chi, Xuezhi
Author_Institution :
Shandong Normal Univ., Jinan, China
Volume :
4
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1788
Lastpage :
1791
Abstract :
Information filtering has become a hot research topic. This paper gives a research and discuss to the implemention of BP artificial neural network And Genetic Algorithm in Information filtering, including BP artificial neural network, Genetic Algorithm, text feature extraction, learning method, etc. It also describes a Information filtering model based on BP artificial neural network, The experimental result indicates that this model work reliably, and filter efficiency distinct enhancement.
Keywords :
backpropagation; genetic algorithms; information filtering; neural nets; BP artificial neural network; backpropagation; genetic algorithm; information filtering model; Artificial neural networks; Feature extraction; Information filters; Libraries; Training; BP artificial neural network; Genetic Algorithm; Information filtering; Vector Space Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5584445
Filename :
5584445
Link To Document :
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