Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 11: November 2014

Research on Application of Sintering Basicity of Based on Various Intelligent Algorithms

Song Qiang (Anyang Institute of Technology)
Zhang Hai-Feng (Anyang Institute of Technology)



Article Info

Publish Date
01 Nov 2014

Abstract

Prediction of alkalinity in sintering process is difficult. Whether the level of the alkalinity of sintering process is successful or not is directly related to the quality of sinter. There is no good method, prediction of alkalinity by high complexity, the present nonlinear, strong coupling, high time delay, so the recent new technology, grey least square support vector machine have been introduced. In this paper, The weight of evaluation objectives has not given the corresponding consideration when solving the correlation degree by taking traditional grey relation analysis and it is with a lot of subjective factors, easily lead to mistakes in decision-making on program. What is more,a kind of alkaline grey support vector machine model, enables us to develop new formulations and algorithms to predict the alkalinity. In the model,

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