DocumentCode
2856979
Title
Notice of Retraction
Weighted Grey Prediction Model and its Computation Analysis
Author
Zhou Shijian ; Guan Yunlan ; Lu Tieding
Author_Institution
Jiangxi Acad. of Sci., Nanchang, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
5
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The optimal produce coefficient of the background value is put forward and the computation formula has been derived by the authors based on the shortages of the computation method of the background value in the GM(1,1) model-grey prediction model, the weighted grey prediction model-PGM(1,1) model has been constructed, the computation of the optimal produce coefficient of the background value and the grey parameters have been discussed using the iterative computation methodology in detail, the results of the practice examples show that the PGM(1,1) model is superior to GM(1,1) in the fitting accuracy and the prediction effect.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The optimal produce coefficient of the background value is put forward and the computation formula has been derived by the authors based on the shortages of the computation method of the background value in the GM(1,1) model-grey prediction model, the weighted grey prediction model-PGM(1,1) model has been constructed, the computation of the optimal produce coefficient of the background value and the grey parameters have been discussed using the iterative computation methodology in detail, the results of the practice examples show that the PGM(1,1) model is superior to GM(1,1) in the fitting accuracy and the prediction effect.
Keywords
grey systems; iterative methods; modelling; computation analysis; grey parameters; iterative computation; model-grey prediction; weighted grey prediction; Computational modeling; Differential equations; Economic forecasting; Information analysis; Iterative methods; Mathematical model; Mathematics; Monitoring; Prediction theory; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5365766
Filename
5365766
Link To Document