DocumentCode
2849865
Title
Notice of Retraction
The Application of Support Vectors Regression in Chinese Forestry Economy Development Prediction
Author
Quan Liang ; Tian Guo-shuang
Author_Institution
Coll. of Econ. & Manage., North-East Forestry Univ., Harbin, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
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.
To develop forestry economy is a most watched problem recent years, to analyze the economic data and find out existing problems, will greatly help governments revise the policies and promote rapidly development of forestry ecological economy. Based on the support vector regression theory, the thesis builds the regression analysis model of our forestry ecological development, collects the development data from state statistic bureau, analyzed the correlation of the selected parameters, and trains and tests the regression model. Finally, this thesis point out that current Chinese forestry ecological economy still exists two problems: first is the rate of third industry is too low, and the second problem is that the output of primary and second industry still greatly depend on timber yield, and it lead to the regional ecological system is fragile.
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.
To develop forestry economy is a most watched problem recent years, to analyze the economic data and find out existing problems, will greatly help governments revise the policies and promote rapidly development of forestry ecological economy. Based on the support vector regression theory, the thesis builds the regression analysis model of our forestry ecological development, collects the development data from state statistic bureau, analyzed the correlation of the selected parameters, and trains and tests the regression model. Finally, this thesis point out that current Chinese forestry ecological economy still exists two problems: first is the rate of third industry is too low, and the second problem is that the output of primary and second industry still greatly depend on timber yield, and it lead to the regional ecological system is fragile.
Keywords
environmental economics; forestry; regression analysis; support vector machines; Chinese forestry economy development prediction; forestry ecological economy; regional ecological system; regression analysis model; support vector regression theory; support vectors regression model; Biological system modeling; Data analysis; Economic forecasting; Educational institutions; Forestry; Government; Kernel; Regression analysis; Statistical analysis; Support vector machines;
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.2009.5365315
Filename
5365315
Link To Document