Experimental and machine learning research on a multi-functional Trombe wall system

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dc.contributor.authorÇolak, Andaç Batur
dc.contributor.authorRezaei, Marzieh
dc.contributor.authorAydın, Devrim
dc.contributor.authorDalkılıç, Ahmet Selim
dc.date.accessioned2024-07-23T12:47:43Z
dc.date.available2024-07-23T12:47:43Z
dc.date.issued2024en_US
dc.departmentRektörlük, Bilişim Teknolojileri Uygulama ve Araştırma Merkezien_US
dc.description.abstractPerformance prediction tools can assist architects and engineers in designing and sizing TWs without the extensive effort, time, and costs associated with experimental evaluations. This study aims to develop an artificial neural network (ANN) model for predicting the performance of a multi-functional TW by using 57 experimental datasets and the Levenberg-Marquardt algorithm as the training algorithm. The developed model was found to be capable of TW performance prediction with error rates < 0.23%. The performance parameters for the ANN model, namely the mean squared error (MSE) and the coefficient of determination (R), were calculated to be 0.034 and 0.99917, respectively.en_US
dc.identifier.doi10.1504/IJGW.2024.139902en_US
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85198667095en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/7372
dc.identifier.urihttps://doi.org/10.1504/IJGW.2024.139902
dc.identifier.volume33en_US
dc.identifier.wosWOS:001266094200004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInderscience Enterprices Ltd.en_US
dc.relation.ispartofInternational Journal of Global Warmingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.subjectTrombe wall; heating; buildings; artificial neural network; ANN; Levenberg-Marquardt; global warming; sustainable architectureen_US
dc.titleExperimental and machine learning research on a multi-functional Trombe wall systemen_US
dc.typeArticleen_US

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