Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.

Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.

The correct estimation of the water level in a reservoir is crucial to optimizing the management of water resources. In this study, Artificial Neural Network (ANN) and Support Vector Machines (SVM) methods were used to estimate the level change of the dam reservoir. Keban Dam located in the Eastern...

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Main Authors: Mustafa DEMIRCI, Yunus Ziya KAYA
Format: Article
Language:English
Published: Cluj University Press 2019-03-01
Series:Aerul şi Apa: Componente ale Mediului
Subjects:
Dam Reservoir Level
Estimation
Artificial Neural Network
Support Vector Machines
Online Access:http://aerapa.conference.ubbcluj.ro/2019/PDF/20_DEMIRCI%20and%20KAYA%20197-205.pdf
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spelling doaj-c12621e4dab14cbc91b8087f6c936b7f2020-11-24T21:53:34ZengCluj University PressAerul şi Apa: Componente ale Mediului2067-743X2019-03-01201919720510.24193/AWC2019_20Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.Mustafa DEMIRCI0Yunus Ziya KAYA1Iskenderun Technical University, Eng. Faculty, Civil Eng Department, TURKEYOsmaniye Korkut Ata University, Eng. Faculty, Civil Eng Department, TURKEY The correct estimation of the water level in a reservoir is crucial to optimizing the management of water resources. In this study, Artificial Neural Network (ANN) and Support Vector Machines (SVM) methods were used to estimate the level change of the dam reservoir. Keban Dam located in the Eastern Anatolia region of Turkey was selected as the application area and 731 daily observed data was used.http://aerapa.conference.ubbcluj.ro/2019/PDF/20_DEMIRCI%20and%20KAYA%20197-205.pdfDam Reservoir LevelEstimationArtificial Neural NetworkSupport Vector Machines
collection DOAJ
language English
format Article
sources DOAJ
author Mustafa DEMIRCI
Yunus Ziya KAYA
spellingShingle Mustafa DEMIRCI
Yunus Ziya KAYA
Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
Aerul şi Apa: Componente ale Mediului
Dam Reservoir Level
Estimation
Artificial Neural Network
Support Vector Machines
author_facet Mustafa DEMIRCI
Yunus Ziya KAYA
author_sort Mustafa DEMIRCI
title Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
title_short Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
title_full Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
title_fullStr Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
title_full_unstemmed Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
title_sort estimation of keban dam reservoir level in turkey using artificial neural network and support vector machines.
publisher Cluj University Press
series Aerul şi Apa: Componente ale Mediului
issn 2067-743X
publishDate 2019-03-01
description The correct estimation of the water level in a reservoir is crucial to optimizing the management of water resources. In this study, Artificial Neural Network (ANN) and Support Vector Machines (SVM) methods were used to estimate the level change of the dam reservoir. Keban Dam located in the Eastern Anatolia region of Turkey was selected as the application area and 731 daily observed data was used.
topic Dam Reservoir Level
Estimation
Artificial Neural Network
Support Vector Machines
url http://aerapa.conference.ubbcluj.ro/2019/PDF/20_DEMIRCI%20and%20KAYA%20197-205.pdf
work_keys_str_mv AT mustafademirci estimationofkebandamreservoirlevelinturkeyusingartificialneuralnetworkandsupportvectormachines
AT yunusziyakaya estimationofkebandamreservoirlevelinturkeyusingartificialneuralnetworkandsupportvectormachines
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