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

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Study on Nonlinear Prediction System of River Water Environmental Safety Based on Genetic Algorithm & BP Neural Network

Electroencephalographic based hearing identification using back-propagation algorithm

A symmetric key cryptography using genetic algorithm and error back propagation neural network

Sonar array azimuth control system based on genetic neural network

Research on Improved Neural Network Forecast Basing on Genetic Algorithm

A network intrusion detection approach combined with genetic algorithm and back propagation neural network

The forecasting of Shanghai index trend based on genetic algorithm and back propagation Artificial neural network algorithm

Research on Neural Network Based on the Improved Adaptive Genetic Algorithm

Hybrid and integrated intelligent system for load demand prediction

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

Similar Documents

Study on Nonlinear Prediction System of River Water Environmental Safety Based on Genetic Algorithm & BP Neural Network

Electroencephalographic based hearing identification using back-propagation algorithm

A symmetric key cryptography using genetic algorithm and error back propagation neural network

Sonar array azimuth control system based on genetic neural network

Research on Improved Neural Network Forecast Basing on Genetic Algorithm

A network intrusion detection approach combined with genetic algorithm and back propagation neural network

The forecasting of Shanghai index trend based on genetic algorithm and back propagation Artificial neural network algorithm

Research on Neural Network Based on the Improved Adaptive Genetic Algorithm

Hybrid and integrated intelligent system for load demand prediction

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