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 :
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