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Notice of Retraction
Application of support vector machine in ecological economy forecasting

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2 Author(s)
Liu Hui ; Chinese People's Liberation Army, Beijing, China ; Kong Ling-fang

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.

Published in:

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on  (Volume:9 )

Date of Conference:

9-11 July 2010