Performance parameters estimation of MAC by using artificial neural network

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dc.contributor.authorAtik, Kemal
dc.contributor.authorAktas, Abdurrazzak
dc.contributor.authorDeniz, Emrah
dc.date.accessioned2024-09-29T15:57:09Z
dc.date.available2024-09-29T15:57:09Z
dc.date.issued2010
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, a modeling of a mobile air conditioner system in different amounts of refrigerant and in different compressor revolution speeds was carried out via artificial neural network (ANN). The three-layered ANN that is utilized in order to be able to model this system has 2 cells in its input layer and 3 cells in its output layer. The least problem-yielding ANN structure was analyzed by examining the number of cells in hidden layer from 6 to 19. The best result was obtained in the ANN with 10 hidden cells. A 0.945 was obtained in estimating coefficient of correlation cooling capacity, 0.985 was found in the power consumed in compressor, and 0.994 was established in COP estimation. The obtained correlation coefficients showed that ANNs can be used with a high precision in guessing the performance parameters of mobile air conditioner (MAC) systems. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2010.02.070
dc.identifier.endpage5442en_US
dc.identifier.issn0957-4174
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-77950188861en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage5436en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2010.02.070
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4623
dc.identifier.volume37en_US
dc.identifier.wosWOS:000277726300083en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir conditioningen_US
dc.subjectCOPen_US
dc.subjectRefrigerant chargeen_US
dc.subjectCompressoren_US
dc.subjectRevolution speeden_US
dc.subjectANNen_US
dc.titlePerformance parameters estimation of MAC by using artificial neural networken_US
dc.typeArticleen_US

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