Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens

In the present study, the performance of the support vector machine for estimating vertical drop hydraulic parameters in the presence of dual horizontal screens has been investigated. For this purpose, 120 different laboratory data were used to estimate three parameters of the drop: the relative len...

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Autores principales:	Rasoul Daneshfaraz, Mohammad Bagherzadeh, Reza Esmaeeli, Reza Norouzi, John Abraham
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	downstream relative depth dual horizontal screens relative length of drop residual relative energy support vector machine vertical drop Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/acc9fa1728c34fd2813e80894411b9d2
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spelling	oai:doaj.org-article:acc9fa1728c34fd2813e80894411b9d22021-11-06T07:05:38ZStudy of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens1606-97491607-079810.2166/ws.2020.279https://doaj.org/article/acc9fa1728c34fd2813e80894411b9d22021-02-01T00:00:00Zhttp://ws.iwaponline.com/content/21/1/217https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798In the present study, the performance of the support vector machine for estimating vertical drop hydraulic parameters in the presence of dual horizontal screens has been investigated. For this purpose, 120 different laboratory data were used to estimate three parameters of the drop: the relative length, the downstream relative depth, and the residual relative energy in the support vector machine. For each parameter, 12 models were analyzed by using a support vector machine. The performance of the models was evaluated with statistical criteria (R2, DC, and RMSE) and the best model was introduced for each of the parameters. The evaluation criteria for the relative length of the vertical drop equipped with dual horizontal screens for the testing stage are R2 = 0.992, DC = 0.981 and RMSE = 0.050. Also, the values of the downstream relative depth evaluation indicators for the testing stage are R2 = 0.9866, DC = 0.980 and, RMSE = 0.0064. For the residual relative energy parameter, the values of the residual relative energy evaluation indicators are R2 = 0.9949, DC = 0.9853 and RMSE = 0.0056. The results showed the capacity for this approach to predict the hydraulic performance of these systems with accuracy.Rasoul DaneshfarazMohammad BagherzadehReza EsmaeeliReza NorouziJohn AbrahamIWA Publishingarticledownstream relative depthdual horizontal screensrelative length of dropresidual relative energysupport vector machinevertical dropWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 1, Pp 217-231 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	downstream relative depth dual horizontal screens relative length of drop residual relative energy support vector machine vertical drop Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	downstream relative depth dual horizontal screens relative length of drop residual relative energy support vector machine vertical drop Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Rasoul Daneshfaraz Mohammad Bagherzadeh Reza Esmaeeli Reza Norouzi John Abraham Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
description	In the present study, the performance of the support vector machine for estimating vertical drop hydraulic parameters in the presence of dual horizontal screens has been investigated. For this purpose, 120 different laboratory data were used to estimate three parameters of the drop: the relative length, the downstream relative depth, and the residual relative energy in the support vector machine. For each parameter, 12 models were analyzed by using a support vector machine. The performance of the models was evaluated with statistical criteria (R2, DC, and RMSE) and the best model was introduced for each of the parameters. The evaluation criteria for the relative length of the vertical drop equipped with dual horizontal screens for the testing stage are R2 = 0.992, DC = 0.981 and RMSE = 0.050. Also, the values of the downstream relative depth evaluation indicators for the testing stage are R2 = 0.9866, DC = 0.980 and, RMSE = 0.0064. For the residual relative energy parameter, the values of the residual relative energy evaluation indicators are R2 = 0.9949, DC = 0.9853 and RMSE = 0.0056. The results showed the capacity for this approach to predict the hydraulic performance of these systems with accuracy.
format	article
author	Rasoul Daneshfaraz Mohammad Bagherzadeh Reza Esmaeeli Reza Norouzi John Abraham
author_facet	Rasoul Daneshfaraz Mohammad Bagherzadeh Reza Esmaeeli Reza Norouzi John Abraham
author_sort	Rasoul Daneshfaraz
title	Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
title_short	Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
title_full	Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
title_fullStr	Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
title_full_unstemmed	Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
title_sort	study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/acc9fa1728c34fd2813e80894411b9d2
work_keys_str_mv	AT rasouldaneshfaraz studyoftheperformanceofsupportvectormachineforpredictingverticaldrophydraulicparametersinthepresenceofdualhorizontalscreens AT mohammadbagherzadeh studyoftheperformanceofsupportvectormachineforpredictingverticaldrophydraulicparametersinthepresenceofdualhorizontalscreens AT rezaesmaeeli studyoftheperformanceofsupportvectormachineforpredictingverticaldrophydraulicparametersinthepresenceofdualhorizontalscreens AT rezanorouzi studyoftheperformanceofsupportvectormachineforpredictingverticaldrophydraulicparametersinthepresenceofdualhorizontalscreens AT johnabraham studyoftheperformanceofsupportvectormachineforpredictingverticaldrophydraulicparametersinthepresenceofdualhorizontalscreens
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Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens

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