DocumentCode
498941
Title
Generalized study of the grey forecasting model
Author
Wang, Cheng ; Liu, Huan-bin
Author_Institution
Coll. of Math. & Inf. Sci., Huanggang Normal Univ., Huanggang, China
Volume
3
fYear
2009
fDate
12-15 July 2009
Firstpage
1577
Lastpage
1580
Abstract
In this paper, the difference information on the transformation series of logarithm power function in grey forecast modeling. The condition of parameter in this function transformation which should be satisfied in high precision GM(1, 1) modeling is discussed, then the data processing mechanism of this function transformation is given. So these outcomes widen the range of grey transformation methods, and provide the feasibility guarantee for grey modeling.
Keywords
grey systems; modelling; series (mathematics); data processing; function transformation; grey forecasting model; logarithm power function; Cybernetics; Data processing; Economic forecasting; Educational institutions; Information science; Machine learning; Mathematical model; Mathematics; Predictive models; Sufficient conditions; Difference information; Grey modeling; The transformation of logarithm-power function;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212349
Filename
5212349
Link To Document