Estimation of the Change in Lake Water Level by Artificial Intelligence Methods

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dc.contributor.authorBuyukyildiz, Meral
dc.contributor.authorTezel, Gulay
dc.contributor.authorYilmaz, Volkan
dc.date.accessioned2020-03-26T18:50:33Z
dc.date.available2020-03-26T18:50:33Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, five different artificial intelligence methods, including Artificial Neural Networks based on Particle Swarm Optimization (PSO-ANN), Support Vector Regression (SVR), Multi- Layer Artificial Neural Networks (MLP), Radial Basis Neural Networks (RBNN) and Adaptive Network Based Fuzzy Inference System (ANFIS), were used to estimate monthly water level change in Lake Beysehir. By using different input combinations consisting of monthly Inflow - Lost flow (I), Precipitation (P), Evaporation (E) and Outflow (O), efforts were made to estimate the change in water level (L). Performance of models established was evaluated using root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R-2). According to the results of models, epsilon-SVR model was obtained as the most successful model to estimate monthly water level of Lake Beysehir.en_US
dc.identifier.doi10.1007/s11269-014-0773-1en_US
dc.identifier.endpage4763en_US
dc.identifier.issn0920-4741en_US
dc.identifier.issn1573-1650en_US
dc.identifier.issue13en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage4747en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s11269-014-0773-1
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30833
dc.identifier.volume28en_US
dc.identifier.wosWOS:000342448400021en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofWATER RESOURCES MANAGEMENTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAdaptive network-based fuzzy inference systemen_US
dc.subjectArtificial neural networksen_US
dc.subjectLake Beysehiren_US
dc.subjectParticle swarm optimizationen_US
dc.subjectSupport vector regressionen_US
dc.subjectWater levelen_US
dc.titleEstimation of the Change in Lake Water Level by Artificial Intelligence Methodsen_US
dc.typeArticleen_US

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