Estimation of the solar pond temperatures using artificial neural network

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dc.contributor.authorBezir, Nalan Çiçek
dc.contributor.authorŞencan, Arzu
dc.contributor.authorÖzek, Nuri
dc.contributor.authorYakut, A. Kemal
dc.date.accessioned2016-12-30T12:32:38Z
dc.date.available2016-12-30T12:32:38Z
dc.date.issued2004
dc.descriptionhttp://sjam.selcuk.edu.tr/sjam/article/view/136en_US
dc.description.abstractIn this paper, the temperatures at different depths of the solar pond in Yalvawere predicted using Artificial Neural Network (ANN). Although the temperatures of the different depths of the solar pond with dimensions of 3.5x3.5x2 m, which was built in order to provide hot water for leather workshop, were measured, temperatures of the all points couldn't be obtained. The temperatures of unmeasured points were predicted with the 90ANN method using existing temperature data. The predicted values of the ANN were compared with real values. As a result, the temperatures at unmeasured points of the solar pond were successfully predicted by the ANN method.en_US
dc.identifier.citationBezir, N. Ç., Şencan, A., Özek, N., Yakut, A. K. (2004). Estimation of the solar pond temperatures using artificial neural network. Selcuk Journal of Applied Mathematics, 5 (1), 39-48.en_US
dc.identifier.endpage48
dc.identifier.issn1302-7980en_US
dc.identifier.startpage39
dc.identifier.urihttps://hdl.handle.net/20.500.12395/3619
dc.identifier.volume5
dc.language.isoenen_US
dc.publisherSelcuk University Research Center of Applied Mathematicsen_US
dc.relation.ispartofSelcuk Journal of Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Kategori Belirleneceken_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSolar energyen_US
dc.subjectSolar ponden_US
dc.subjectArtificial neural networken_US
dc.subjectGüneş enerjisien_US
dc.subjectGüneş havuzlarıen_US
dc.subjectYapay sinir ağıen_US
dc.titleEstimation of the solar pond temperatures using artificial neural networken_US
dc.typeArticleen_US

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