Research on the Alkalinity of Sintering Process Based on LS-SVM Algorithms

The measurement of R in sintering process is difficult to control, on the other hand, it is easily to be disturbed by almost process steps. A prediction model of R in sintering process based on LS-SVM is proposed to judge the trend of R. The application result shows that the prediction with this method can achieve higher robust, better utility and expensive value. It was concluded that the LS-SVM model is effective with the advantages of high precision, less requirement of samples and comparatively simple calculation.