ESTIMATION OF SUSPENDED SEDIMENT LOAD BY ARTIFICIAL NEURAL NETWORK

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dc.contributor.authorKumcu, S. Y.
dc.contributor.authorTumer, A. E.
dc.date.accessioned2024-02-23T14:34:41Z
dc.date.available2024-02-23T14:34:41Z
dc.date.issued2019
dc.departmentNEÜen_US
dc.description.abstractIn this study, the monthly flow rate and suspended sediment load (Q(s)) Karamenderes Stream in Turkey for the years of 1996-2004 were estimated with artificial neural network. Mean square error, mean absolute error and coefficient of determination were used for performance evaluation of the model. The model produced satisfactory results and showed a very good agreement between the predicted and observed data. The results also showed that the performance of the Artificial Neural Network model can capture the exact pattern of the suspended sediment load data in the Karamenderes Stream.en_US
dc.identifier.doi10.31407/ijees9410
dc.identifier.endpage670en_US
dc.identifier.issn2224-4980
dc.identifier.issue4en_US
dc.identifier.startpage665en_US
dc.identifier.urihttps://doi.org/10.31407/ijees9410
dc.identifier.urihttps://hdl.handle.net/20.500.12452/15707
dc.identifier.volume9en_US
dc.identifier.wosWOS:000506407000010en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherHealth & Environment Assocen_US
dc.relation.ispartofInternational Journal Of Ecosystems And Ecology Science-Ijeesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnnen_US
dc.subjectSuspended Sediment Loaden_US
dc.subjectSediment Transporten_US
dc.subjectModelingen_US
dc.titleESTIMATION OF SUSPENDED SEDIMENT LOAD BY ARTIFICIAL NEURAL NETWORKen_US
dc.typeArticleen_US

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