TY - JOUR ID - 1803 TI - Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming JO - Journal of AI and Data Mining JA - JADM LA - en SN - 2322-5211 AU - Pasandideh, I AU - Rajabi, A. AU - Yosefvand, F. AU - Shabanlou, S. AD - Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran. Y1 - 2020 PY - 2020 VL - 8 IS - 4 SP - 535 EP - 544 KW - Length of hydraulic jump KW - Sloping rough bed KW - Sensitivity Analysis KW - Gene Expression Program (GEP) KW - Partial derivative sensitivity analysis (PDSA) DO - 10.22044/jadm.2020.7444.1886 N2 - Generally, length of hydraulic jump is one the most important parameters to design stilling basin. In this study, the length of hydraulic jump on sloping rough beds was predicted using Gene Expression Programming (GEP) for the first time. The Monte Carlo simulations were used to examine the ability of the GEP model. In addition, k-fold cross validation was employed in order to verify the results of the GEP model. To determine the length of hydraulic jump, five different GEP models were introduced using input parameters. Then by analyzing the GEP models results, the superior model was presented. For the superior model, correlation coefficient (R), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) were computed 0.901, 11.517 and 1.664, respectively. According to the sensitivity analysis, the Froude number at upstream of hydraulic jump was identified as the most important parameter to model the length of hydraulic jump. Furthermore, the partial derivative sensitivity analysis (PDSA) was performed. For instance, the PDSA was calculated as positive for all input variables. UR - https://jad.shahroodut.ac.ir/article_1803.html L1 - https://jad.shahroodut.ac.ir/article_1803_b90b880898f5cd93a40ea34bc1a1dbf0.pdf ER -