关键词: 锌钡白, 煅烧, 最小二乘支持向量机, 建模

Abstract: In order to overcome the difficulty in the modeling of lithopone calcination‚an identification algorithm based on the LS-SVM （Least Squares Support Vector Machine） was applied to the modeling of the calcination process．As the LS-SVM algorithm is of the advantages of simple structure and high speed‚according to the mechanisms of SVM and LS-SVM algorithms‚a model describing the variation of rotating speed with the temperature in the calcinations process was obtained by modeling simulation．The identification performance of the proposed algorithm was finally compared with that of the ANFIS （Adaptive Neura-l fuzzy Inference System）‚with the conclusion that the LSSVM is more valuable when applied to the modeling of the calcination process．

Key words: lithopone, calcination, least squares support vector machine, modeling