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 :
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