DocumentCode
2902853
Title
A Combination Forecasting Method Based on GEP
Author
Zhang, Dabin ; Zhang, Jingguang ; Cheng, Ran ; Zhang, Wensheng
Author_Institution
Dept. of Inf. Manage., Central China Normal Univ., Wuhan, China
fYear
2011
fDate
17-18 Oct. 2011
Firstpage
18
Lastpage
21
Abstract
A combination forecasting method based on gene expression programming (GEP) is introduced in this paper. The main idea of this method is that the nonlinear combination forecasting function can be simulated by gene expression programming. Not only the difficulty of constructing the nonlinear combination forecasting function is decreased, but also the prediction precision is improved by the combination forecasting method based GEP.
Keywords
forecasting theory; genetic algorithms; GEP; gene expression programming; nonlinear combination forecasting function; prediction precision; Data models; Educational institutions; Forecasting; Gene expression; Genetic algorithms; Predictive models; Programming; GEP; combination forecasting; non-linear combination forecasting function;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-1541-9
Type
conf
DOI
10.1109/BIFE.2011.1
Filename
6121079
Link To Document