Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm

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DANESHFARAZ RASOUL; Aminvash Ehsan; MIRZAEI REZA; Abraham John

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Journal Paper

Paper Information

Journal: JOURNAL OF APPLIED RESEARCH IN WATER AND WASTEWATER Year:2021 | Volume:8 | Issue:2 Page(s): 98-106

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Information Journal Paper

Title

Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm

Author(s)

DANESHFARAZ RASOUL | Aminvash Ehsan | MIRZAEI REZA | Abraham John | Issue Writer Certificate

Keywords

Relative energy dissipation

Support vector machine

Input parameters

Froude number

Abstract

In this research, the performance of Support vector machine in predicting Relative energy dissipation in non-prismatic channel and rough bed with trapezoidal elements has been investigated. To achieve the objectives of the present study, 136 series of laboratory data are analyzed under the same laboratory conditions using a Support vector machine. The present study entered the Support vector machine network without dimension in two different scenarios with a height of 1. 50 and 3. 0 cm rough elements. Two statistical criteria of Root Mean Square Error and coefficient of determination are used to evaluate the efficiency of input compounds. Hydraulically, the results show that at both heights of the rough elements, energy dissipation increased with increasing Froude number. The results of the Support vector machine show that the height of the roughness element is 1. 50 cm in the first scenario, combination number 6 with R2 = 0. 990 and RMSE = 0. 0129 for training mode and R2 = 0. 993 and RMSE = 0. 032 for testing mode and the height of the roughness element 3. 0 in the second scenario, combination number 6 with R2 = 0. 989 and RMSE = 0. 0112 for training mode, R2 = 0. 994 and RMSE = 0. 0224 for testing mode are select as the best models. Finally, sensitivity analysis is performed on the parameters and H / y1 parameter is selected as the most effective parameter.

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APA: Copy

DANESHFARAZ, RASOUL, Aminvash, Ehsan, MIRZAEI, REZA, & Abraham, John. (2021). Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm. JOURNAL OF APPLIED RESEARCH IN WATER AND WASTEWATER, 8(2), 98-106. SID. https://sid.ir/paper/991518/en

Vancouver: Copy

DANESHFARAZ RASOUL, Aminvash Ehsan, MIRZAEI REZA, Abraham John. Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm. JOURNAL OF APPLIED RESEARCH IN WATER AND WASTEWATER[Internet]. 2021;8(2):98-106. Available from: https://sid.ir/paper/991518/en

IEEE: Copy

RASOUL DANESHFARAZ, Ehsan Aminvash, REZA MIRZAEI, and John Abraham, “Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm,” JOURNAL OF APPLIED RESEARCH IN WATER AND WASTEWATER, vol. 8, no. 2, pp. 98–106, 2021, [Online]. Available: https://sid.ir/paper/991518/en

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