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dc.contributor.authorShanmugapriya, M.en_US
dc.contributor.authorSangeetha, P.en_US
dc.date.accessioned2021-01-22T11:04:44Z
dc.date.available2021-01-22T11:04:44Z
dc.date.issued2021
dc.identifier.citationShanmugapriya, M. & Sangeetha, P. (2021). Neural network modeling of convection heat transfer coefficient for the casson nanofluid. TWMS Journal of Applied and Engineering Mathematics, 11(SI), 248-257.en_US
dc.identifier.issn2146-1147en_US
dc.identifier.issn2587-1013en_US
dc.identifier.urihttp://belgelik.isikun.edu.tr/xmlui/handle/iubelgelik/3041
dc.identifier.urihttp://jaem.isikun.edu.tr/web/index.php/archive/109-vol11-special-issue/654
dc.description.abstractThis paper presents applications of Artificial Neural Network (ANN) to develop a mathematical model of magnetohydrodynamic (MHD) flow and heat transfer in a Casson nanofluid. The model equations are solved numerically by Runge-Kutta Fehlberg method with shooting technique. In the developing ANN model, the performance of the various configuration were compared with various types of errors such as Mean Square Error (MSE), Mean Absolute Error (MAE) and Sum Square Error (SSE). The best ANN configuration incorporated two hidden layers with twenty five neurons in each hidden layer was able to construct convective heat transfer coefficients with MSE, MAE and SSE of 0.006346, 0.009813 and 1.015423%, respectively, and had R² of 0.741516. A good co-relation has been obtained between the predicted results and the numerical values.en_US
dc.language.isoenen_US
dc.publisherIşık University Pressen_US
dc.relation.ispartofTWMS Journal of Applied and Engineering Mathematicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectArtificial neural network (ANN)en_US
dc.subjectConvective heat transfer coefficienten_US
dc.subjectMagnetohydrodynamicen_US
dc.subjectCasson nanofluiden_US
dc.subjectThermal-conductivityen_US
dc.subjectEthylene-glycolen_US
dc.subjectWateren_US
dc.titleNeural network modeling of convection heat transfer coefficient for the casson nanofluiden_US
dc.typeArticleen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.volume11
dc.identifier.issueSI
dc.identifier.startpage248
dc.identifier.endpage257
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US


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