Haghiabi, AmirHamzeh, Parsaie, Abbas, Shamsi, Zahra. (1398). Intelligent Mathematical Modeling of Discharge Coefficient of Nonlinear Weirs with Triangular Plan. نشریه مهندسی عمران امیرکبیر, 3(2), 149-156. doi: 10.22060/ajce.2018.14833.5500
AmirHamzeh Haghiabi; Abbas Parsaie; Zahra Shamsi. "Intelligent Mathematical Modeling of Discharge Coefficient of Nonlinear Weirs with Triangular Plan". نشریه مهندسی عمران امیرکبیر, 3, 2, 1398, 149-156. doi: 10.22060/ajce.2018.14833.5500
Haghiabi, AmirHamzeh, Parsaie, Abbas, Shamsi, Zahra. (1398). 'Intelligent Mathematical Modeling of Discharge Coefficient of Nonlinear Weirs with Triangular Plan', نشریه مهندسی عمران امیرکبیر, 3(2), pp. 149-156. doi: 10.22060/ajce.2018.14833.5500
Haghiabi, AmirHamzeh, Parsaie, Abbas, Shamsi, Zahra. Intelligent Mathematical Modeling of Discharge Coefficient of Nonlinear Weirs with Triangular Plan. نشریه مهندسی عمران امیرکبیر, 1398; 3(2): 149-156. doi: 10.22060/ajce.2018.14833.5500

Intelligent Mathematical Modeling of Discharge Coefficient of Nonlinear Weirs with Triangular Plan

AUT Journal of Civil Engineering
مقاله 2، دوره 3، شماره 2، اسفند 2019، صفحه 149-156    اصل مقاله (871.68 K)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/ajce.2018.14833.5500
نویسندگان
AmirHamzeh Haghiabi1؛ Abbas Parsaie* 2؛ Zahra Shamsi3
1Professor, Water Engineering Department, Lorestan University, Khorramabad, Iran.
2Water Engineering Department
3Department of Water and Soil Conservation, Ministry of Agriculture Jihad, Kerman, Iran
چکیده
 In this study, the discharge coefficient (Cd) of non-linear weirs with a triangular plan was mathematically modeled using a group of method data handling (GMDH), genetic programming (GP) and multivariate adaptive regression splines (MARS) techniques. For this purpose, related datasets including parameters on Cd were collected from literature. These methods were selected since they are classified as smart function fitting (SFF) methods. The main advantages of SFF methods compared to other artificial intelligence methods are defining the most effective parameters on output and assigning more weights to them in mathematical expression process. Results of MARS indicated that this method with fifteen basic functions could achieve good accuracy for modeling and predicting Cd (R2= 0.98 and RMSE=0.024). Results of GMDH showed that this model includes two hidden layers and that there are five and four neurons at the first and second hidden layers, receptivity. Results of developed GP model declared that this model consists of three genes and has acceptable performance for modeling Cd. Evaluation of proficiency of utilized models with each other indicated that the best accuracy is related to MARS model. Calculating the discrepancy ratio index (DDR) shows that the minimum range of DDR is related to MARS model.
کلیدواژه‌ها
DDR Index؛ Nonlinear Weir؛ Flow Measurement؛ Discharge Capacity
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