DocumentCode
532277
Title
Notice of Retraction
The prediction research on the vehicles for business transport of Guangxi in China with the GMDH algorithm method
Author
Zhi-Gao Liao ; Wen-Fang Liu ; Gui-yun Xiang
Author_Institution
Manage. Dept., Guangxi Univ. of Technol., Liuzhou, China
Volume
3
fYear
2010
fDate
22-24 Oct. 2010
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.
This paper uses GMDH method to establish a prediction model to forecast the vehicles for business transport of Guangxi in China, since the original samples of the output value of transport & storage of Guangdong are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective way to predict car ownership with a small sample of history data in the complex economic system.
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.
This paper uses GMDH method to establish a prediction model to forecast the vehicles for business transport of Guangxi in China, since the original samples of the output value of transport & storage of Guangdong are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective way to predict car ownership with a small sample of history data in the complex economic system.
Keywords
forecasting theory; prediction theory; transportation; China; GMDH algorithm method; GMDH method; Guangdong storage; Guangdong transport; Guangxi; artificial neural network; business transport; car ownership prediction; complex economic system; linear regression; prediction model; prediction research; vehicle forecasting; Biological system modeling; Economics; Predictive models; GMDH; data mining; vehicles for business transport;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5620262
Filename
5620262
Link To Document