关键词: 预处理, 最小二乘支持向量机, 模拟退火, 三峡库区, 水质参数预测

Abstract: According to the characteristics of small samples and sudden change of some According to the characteristics of small samples and sudden change of some sections in Three Gorges, the ELS-SVM water quality prediction model for Three Gorges was proposed, which consisted of Equal Level Pretreatment Model (ELPM) and Least Squares Support Vector Machines (LS-SVM). ELPM was brought forward to preprocess raw time series data to enhance the smoothness, and Simulated Annealing (SA) algorithm was used for choosing the optimal parameters of LS-SVM. The experimental results indicate that, compared to the typical forecasting models in limited samples prediction, the ELS-SVM forecasting model is superior to the others in water quality parameter prediction of Three Gorges.

Key words: pretreatment, Least Squares Support Vector Machine (LS-SVM), Simulated Annealing (SA), Three Gorges, water quality prediction