DocumentCode
1651553
Title
Applied research of genetic algorithm in the demand of book resources
Author
Shu-ling, Deng ; Liang-wu, Shi
Author_Institution
College of Accounting Hunan University of Commerce Changsha, China
fYear
2011
Firstpage
1
Lastpage
3
Abstract
Genetic algorithm is suitable for the complex and non-linear problem that can not be solved by traditional method, which has been widely used in many areas, and it will become one of main techniques in intelligent computation. This article takes the dynamic series of number of printed books in during several years as example, discussing modeling method of succession forecast model based on GA and validity of forecast precision.
Keywords
Computational modeling; Computers; Genetic algorithms; Genetics; Logistics; Predictive models; Genetic algorithm; book resources; fitting; modeling; precision;
fLanguage
English
Publisher
ieee
Conference_Titel
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location
Shanghai, China
Print_ISBN
978-1-4244-8691-5
Type
conf
DOI
10.1109/ICEBEG.2011.5882323
Filename
5882323
Link To Document