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How to cite: Demirci, M., Kaya, Y.Z. (2019) Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines. 2019 ”Air and Water – Components of the Environment” Conference Proceedings, Cluj-Napoca, Romania, p. 197-206, DOI: 10.24193/AWC2019_20.

2019 Content

 

ESTIMATION OF KEBAN DAM RESERVOIR LEVEL IN TURKEY USING ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINES
 

Mustafa DEMIRCI, Yunus Ziya KAYA
 

DOI: 10.24193/AWC2019_20

ABSTRACT. – 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.

 

Keywords: Dam Reservoir Level, Estimation, Artificial Neural Network, Support Vector Machines.

Creative Commons Attribution Non-Commercial 3.0 License.

 

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