Prediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Network

Basit Öğe Kaydı
dc.authoridKisi, Ozgur/0000-0001-7847-5872
dc.contributor.authorUnes, Fatih
dc.contributor.authorDemirci, Mustafa
dc.contributor.authorKisi, Ozgur
dc.date.accessioned2024-09-18T20:55:45Z
dc.date.available2024-09-18T20:55:45Z
dc.date.issued2015
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractReservoir level modeling is important for the operation of dam reservoir, design of hydraulic structures, determining pollution in reservoir and the safety of dam. In this study, daily reservoir levels for Millers Ferry Dam on the Alabama River in USA were predicted using artificial neural networks (ANN). Bayesian regularization backpropagation training algorithm is employed for optimization of the network. The results of the optimal ANN models were compared with conventional auto-regressive models (AR), auto-regressive moving average (ARMA), multi-linear regression (MLR) models. The models are compared with each other according to the three criteria, namely, mean square errors, mean absolute relative error and correlation coefficient. The comparison results show that the ANN models perform better than the conventional models.en_US
dc.identifier.doi10.3311/PPci.7379
dc.identifier.endpage318en_US
dc.identifier.issn0553-6626
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84941338783en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage309en_US
dc.identifier.urihttps://doi.org/10.3311/PPci.7379
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12029
dc.identifier.volume59en_US
dc.identifier.wosWOS:000367086700007en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherBudapest Univ Technology Economicsen_US
dc.relation.ispartofPeriodica Polytechnica-Civil Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectReservoir levelen_US
dc.subjectpredictionen_US
dc.subjectartificial neural networken_US
dc.subjectauto-regressive moving averageen_US
dc.titlePrediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Networken_US
dc.typeArticleen_US

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