THE USING OF ARTIFICIAL NEURAL NETWORKS IN INSULATION COMPUTATIONS

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dc.contributor.authorKelesoglu, Omer
dc.contributor.authorEkinci, Cevdet Emin
dc.contributor.authorFirat, Adem
dc.date.accessioned2026-08-12T17:25:37Z
dc.date.issued2005
dc.departmentFırat Üniversitesi
dc.description.abstractIn this study, the thickness of the insulation material has been fixed by being used a multi-layer feed-forward artificial neural network. A back propagation training algorithm has been used in training of the network. A brick wall for the structural component has considered and whether or not this wall needed insulation has been analyzed and min thickness of this material has been determined by ANN. The results obtained from the network has been determined compared with the numerical results and it was seen the results sensitive enough.
dc.identifier.endpage66
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue3
dc.identifier.startpage58
dc.identifier.urihttps://hdl.handle.net/11508/54443
dc.identifier.volume23
dc.identifier.wosWOS:000219454300007
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.language.isotr
dc.publisherYildiz Technical Univ
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik ve Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectArtificial neural network
dc.subjectBack backpropagation algorithm
dc.subjectInsulation
dc.subjectMineral wood
dc.titleTHE USING OF ARTIFICIAL NEURAL NETWORKS IN INSULATION COMPUTATIONS
dc.typeArticle

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