Application of support vector machine method to long-term runoff forecast

作者：Lin Jian Yi; Cheng Chun Tian

来源：Journal of Hydraulic Engineering, 2006, 37(6): 681-686.

The support vector machine (SVM) method is applied to forecast long-term run-off. The radial basic core function is introduced in the establishment of the model describing the run-off hydrograph, and the SCE-UA algorithm is applied to identify the parameters of SVM. The exponential transformation is used to help quickly and precisely search the optimal parameters. The comparison of forecast result between proposed method and artificial neural network (ANN) method indicates that the new method possesses higher forecasting accuracy.

• 出版日期2006