摘要：As to classification problem, this paper puts forward the combinatorial optimization least squares support vector machine algorithm (COLS-SVM). Based on algorithmic analysis of COLS-SVM and improves on it, the improved COLS-SVM can be used on individual credit evaluation. As to regression problem, appropriate kernel function and parameters were selected based on the analysis of support vector regression (SVR) algorithm. This paper proposes the forecasting model of coal mine ground-water-level based on SVR algorithm and improves on it. In another regression problem, it improves on successive overrelaxation for support vector regression (SORR) algorithm to measure the cholesterol content of a blood sample concerning the three kinds of plasma lipoproteins (VLDL, LDL, HDL) in medical science. The numerical experiment results show that the improved COLS-SVM algorithm and Mine Ground-water-level Forecasting improved Model and improved SORR algorithm are effective.
关键词：COLS-SVM;SVR;Individual Credit Evaluation;the Forecasting Model of Coal Mine Ground-water-level;Plasma Lipoprotein Cholesterol Measurement
