Abbas Parsaie - Ph.D. Candidate of hydro structures, Department of water Engineering, Lorestan University, KhorramAbad, Iran
HojattAllah Yonesi - Assistant Professor of Water Engineering, Lorestan University, KhorramAbad, Iran
Shadi najafian - M.Sc. Candidate of hydro structures, Department of water Engineering, Lorestan University, KhorramAbad, Iran

Modeling of river phonemes is one of the main parts in Hydraulic engineering studies. Predicting the discharge in the compound open channel is the main subject of the river engineer researches. In this study the support vector machine (SVM) technique is used to predict the discharge in the compound open channel. The result of the error indexes shows that the best accuracy of the SVM by correlation coefficient0.99is related to the SVM model which includes the radial basis function (RBF) as kernel function. During the SVM model process obtained 0.00005 for the gamma coefficient, epsilon is equal to 0.1 and C=1.

Compound open channel, Support vector machine, discharge prediction, river hydraulic