A PCA-WLSSVM-Based Prediction Model for Leaching Rate and Ratio of Soda to Aluminate

A prediction model based on PCA-WLSSVM is proposed to online measure the ratio of soda to aluminate(RSA) and the leaching rate(LR) in alumina manufacturing.Principal component analysis(PCA) is used to eliminate redundancy and reduce dimension of the samples.According to the distance from the sample's innuendo point to the core of the least hypersphere containing all the innuendo points,the weights are determined to optimize parameters of the least squares support vector machines(WLS-SVM) and to increase looseness and robustness of the weighted LS-SVM.The simulation result shows that the presented PCA-WLSSVM model can online measure the ratio of soda to aluminate and the leaching rate effectively.