Support vector machine (SVM) approach to develop the discharge prediction model for triangular labyrinth weir

Abstract Most of the studies on labyrinth weir were carried out in laboratory, and regression models have been developed for discharge coefficient terms pertinent independent parameters. It is difficult to obtain an exact analytical solution head relationship due existence 3D flow. Consequently, various forms soft computing techniques are used as appropriate alternative achieve greater accuracy developing a prediction model. In present study, support vector (SVR) has, therefore, implemented develop model triangular (TL) using sizeable amount laboratory data available literature. An attempt has also made simple equation same based non-linear (NLR) approach field application. A comparative study assess obtained those reported Sensitivity analysis influence individual parameters coefficient. The different was tested prototype recommended