The operating conditions prediction of electric arc furnace based on least squares support vector machines

Abstract

As the electric arc furnace (EAF)operating conditions is difficult to directly measured, resulting in the EAF not eas1y to determine the various operating conditions. In view of these problems, based on the characteristics of the EAF ferroalloy smelting, this method about the use of multi-scale decomposition of the nuclear functions of the least square… (More)

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Cite this paper

@article{Zhang2010TheOC, title={The operating conditions prediction of electric arc furnace based on least squares support vector machines}, author={De-jiang Zhang and Guang-lai Zhang and Niao-na Zhang}, journal={2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering}, year={2010}, volume={3}, pages={263-266} }