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《Journal of Hydraulic Engineering》 2003-05
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Application of support vector machine method in prediction of groundwater level

WANG Jinglei1, WU Jingshe1, SUN Jingsheng1,QI Xuebin1(1.Farmland Irrigation Research Institute,MWR,Xinxiang,Henan453003,China)  
Aiming at the problem of predicting groundwater level under the circumstances of indistinct system structure and poor basic information,the authors introduced the support vector machine method(SVM).The basic theory and algorithm of the method were presented and application of the method to predict groundwater level was conducted.Comparison was made between SVM methods with Artificial Neural Network(ANN) and the comparative result indicated that SVM method was faster in computation and had a better generalization ability.SVM method can overcome the overfitting problem of ANN method.
【Fund】: 国家"十五"科技攻关项目(200BA508B02);; 国家"863"计划(2001AA242051)联合资助
【CateGory Index】: P641
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