DocumentCode
1953874
Title
Notice of Retraction
Application of support vector machine in ecological economy forecasting
Author
Liu Hui ; Kong Ling-fang
Author_Institution
Chinese People´s Liberation Army, Beijing, China
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
111
Lastpage
115
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.
In the paper, ecological economy forecasting based on support vector machine is presented. The ecological economy forecasting is the forecasting of the three energy indices: self-sufficient rate of energy, environment load rate and production rate of pure energy, so the three energy indices are predicted here. The experimental data of the three energy indices: self-sufficient rate of energy, environment load rate and production rate of pure energy are collected, and support vector machine is employed to predict three energy indices. The testing results show that the ecological economy forecasting by support vector machine is feasible.
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.
In the paper, ecological economy forecasting based on support vector machine is presented. The ecological economy forecasting is the forecasting of the three energy indices: self-sufficient rate of energy, environment load rate and production rate of pure energy, so the three energy indices are predicted here. The experimental data of the three energy indices: self-sufficient rate of energy, environment load rate and production rate of pure energy are collected, and support vector machine is employed to predict three energy indices. The testing results show that the ecological economy forecasting by support vector machine is feasible.
Keywords
ecology; economics; forecasting theory; support vector machines; ecological economy forecasting; energy self-sufficient rate; environment load rate; pure energy production rate; support vector machine; Economics; Forecasting; Optical variables measurement; Prediction algorithms; Production; Support vector machines; Training; prediction techniques; regional economies forecasting; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564835
Filename
5564835
Link To Document