NDLI: The Construction of Index System Based on Improved Genetic Algorithm and Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Dong Peng Dai Feng Wu Songtao
Copyright Year	2008
Description	Author affiliation: Zhengzhou Inst. of Inf. Sci. & Technol., Zhengzhou (Dong Peng; Dai Feng; Wu Songtao)
Abstract	Artificial neural network (ANN) and genetic algorithm (GA) have both prevalent uses in large area. Along with the development of technology a method based on the combination of Artificial neural network (ANN) and genetic algorithm (GA) aroused. Now there is not a quantitative way on the problem of constructing the index system. In such a case, the paper uses the combination of Artificial neural network(ANN) and genetic algorithm (GA) to solve this problem. This paper firstly establishing feedforward neural network model and make sure about the input and output variables. Secondly improved genetic algorithm is used to solve the problem of network weight and threshold value which is constitute by three steps real codes, random selection and Genetic Manipulation of Chromosome. Moreover as it know to all, error back propagation(BP) algorithm is effective in local searching so adding error back propagation(BP) algorithm to genetic algorithm is a good way to get the satisfying result. Thirdly the paper gets the output of index effectiveness. Thirdly according to the entropy theory that the summation of effective value which could be involved in the index system should be larger than a certain critical value, the paper screened out the final index. Thus, in theory, gives a quantitative method of constructing the index system.
Starting Page	58
Ending Page	61
File Size	233344
Page Count	4
File Format	PDF
ISBN	9780769535050
DOI	10.1109/IITA.Workshops.2008.129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Error back propagation Information technology Biological neural networks Biological cells Genetic algorithms Intelligent networks Information science Neural networks Genetic algorithm Brain modeling Artificial neural network Artificial intelligence Real codes
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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