DocumentCode
506841
Title
A Novel Grey Forecasting Model
Author
Chen, Weizhen ; Wang, Bingwen ; Zhan, Hao
Author_Institution
Dept. of Inf. & Electr. Eng., Wuhan Polytech. Univ., Wuhan, China
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
571
Lastpage
575
Abstract
Although the grey forecasting model has been very successful in the application of many fields, its performance still could be improved. This paper presents a novel grey forecasting model termed RSCGMmv-u(1, 1). Using mean-value to modify the algorithm of the forecasting model to find statistical features or probability distributions approximately, and update the parameter of the model by the observation data. Subsequently, using the residual series to improve the precision and estimate with MSE and AME. The results provide RSCGMmv-u(1, 1) can effectively forecasting the system developing.
Keywords
grey systems; mean square error methods; technological forecasting; AME; MSE; RSCGMmv-u; forecasting system developing; grey forecasting model; mean value modify algorithm; probability distributions; statistical features; Agricultural engineering; Agriculture; Civil engineering; Economic forecasting; Environmental economics; Fuzzy systems; Pattern analysis; Predictive models; Probability distribution; Technology forecasting; Grey forecasting model; Residual series; updata;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.634
Filename
5358519
Link To Document