Predicting reference evaportranspiration based on LS-SVM.
Daocai Chi, LI Shuai-ying, Miao Yu, Ma ZongZheng · Shenyang Nongye Daxue xuebao · 2009
Reference evaportranspiration is a key parameter in estimating crop evaportranspiration,and its prediction is very important in estimating crop evapotranspiration and improving the use efficiency of agricultural water.The LS-SVM is a improvement of SVM algorithm. It is based on the minimum structure risk, can give dual attention to the experience risk of the modle and the promoted ability.LS-SVM was used in reference evaportranspiration predicting, and comparison and analysis of prediction by LS-SVM model and Elman model was given in this study. The results showed that the LS-SVM model. Performed not only a quick study speed,but also a good predictable precision and stability.LS-SVM model overcomes the malpractice of BP model, more suitable in estimating crop evaportranspiration.