DAM RESERVOIR LEVEL MODELING BY NEURAL NETWORK APPROACH: A CASE STUDY
| dc.contributor.author | Unes, Fatih | |
| dc.date.accessioned | 2024-09-18T20:02:40Z | |
| dc.date.available | 2024-09-18T20:02:40Z | |
| dc.date.issued | 2010 | |
| dc.department | Hatay Mustafa Kemal Ãœniversitesi | en_US |
| dc.description.abstract | Prediction of reservoir level fluctuation is important in the operation, design, and security of dams. In this paper, Artificial Neural Networks (ANN) is used for modeling. In such modeling approaches, it is possible to determine darn reservoir level and water balance (budget) by taking the monthly average precipitation and needed parameters into consideration. The basic data are available for over 29 years at the Tahtakopru Dam in the southeast Mediterranean region of Turkey. As a sub-approach of ANN, a multi layer perceptron (MLP) is used. Bayesian regularization back-propagation training algorithm is employed for optimization of the network. MLP results are compared with the results of conventional multiple linear regression (MLR) and autoregressive (AR) models. The comparison shows that the ANN model provides better performance than the mentioned models in reservoir level estimation. | en_US |
| dc.identifier.endpage | 474 | en_US |
| dc.identifier.issn | 1210-0552 | |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.startpage | 461 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12483/7957 | |
| dc.identifier.volume | 20 | en_US |
| dc.identifier.wos | WOS:000281702900003 | en_US |
| dc.identifier.wosquality | Q4 | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Acad Sciences Czech Republic, Inst Computer Science | en_US |
| dc.relation.ispartof | Neural Network World | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial Neural Networks (ANNs) | en_US |
| dc.subject | dam | en_US |
| dc.subject | reservoir level | en_US |
| dc.subject | prediction | en_US |
| dc.subject | multi layer perceptron | en_US |
| dc.subject | model | en_US |
| dc.title | DAM RESERVOIR LEVEL MODELING BY NEURAL NETWORK APPROACH: A CASE STUDY | en_US |
| dc.type | Article | en_US |
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