Abstract：Soil erosion is a very complicated process,and it is very difficult to predict with the prediction(equation.) As a new machine learning algorithm,support vector translate the learning problem into a quadratic problem to get a global optimization result with limited samples and the rule of minimize structure risk.This paper try to predict soil erosion with the Least Square support vector machine technology and the better predict precision compared to the BP artificial neural network has been gotten.
龙栋材；李斌兵. 基于支持向量机的小流域水蚀预报模型研究[J]. 中国水土保持科学, 2006, 4(6): 48-51.
LONG Dong-Cai-；Li-Bin-Bing. Research of small watershed water erosion prediction model based on SVM. SSWCC, 2006, 4(6): 48-51.
2006, Vol. 4 
