DocumentCode
2566024
Title
Research on generalization for grey forecasting model
Author
Li, Cuifeng
Author_Institution
Dept. of Mechartronics, Zhejiang Bus. Technol. Inst., Ningbo
fYear
2008
fDate
2-4 July 2008
Firstpage
3591
Lastpage
3595
Abstract
Based on trigonometric function transformation cos x , a new method for enhancing smooth degree of the standardized discrete data sequence is put forward. It is proved that the smooth degree of the standardized discrete data sequence by using this transformation can be enhanced Moreover, the GM(1,1) model precision based on the transformation is better than the model precision based on logarithmic function transformation and power function transformation. At last, the method is used to build model of total residence number in Shanghai, the precision of the model is up to 98.5%, the practical application shows the effectiveness of the proposed approach.
Keywords
grey systems; Shanghai; generalization; grey forecasting model; power function transformation; standardized discrete data sequence; total residence number; trigonometric function transformation; Predictive models; Discrete data sequence; Function transformation cos x; Grey model; Smooth degree;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597999
Filename
4597999
Link To Document