Artificial neural network approach for theprediction of thermal ınsulation properties of lightweight building materials for energy efficient buildings
dc.authorid | 0000-0002-0917-7844 | en_US |
dc.contributor.author | Oktay, Hasan | |
dc.contributor.author | Polat, Süleyman | |
dc.contributor.author | Fidan, Şehmus | |
dc.date.accessioned | 2021-11-17T07:21:49Z | |
dc.date.available | 2021-11-17T07:21:49Z | |
dc.date.issued | 2016 | en_US |
dc.department | Batman Üniversitesi Mühendislik - Mimarlık Fakültesi Makine Mühendisliği Bölümü | en_US |
dc.description.abstract | en_US | |
dc.identifier.citation | Oktay, H., Polat, S., Fidan, Ş. (2016). Artificial neural network approach for theprediction of thermal ınsulation properties of lightweight building materials for energy efficient buildings. International Artificial Intelligence and Data Processing Symposium (IDAP'16), 17-18 September 2016, Malatya, Turkey | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12402/3998 | |
dc.language.iso | en | en_US |
dc.publisher | İnönü Üniversitesi | en_US |
dc.relation.journal | International Artificial Intelligence and Data Processing Symposium (IDAP'16), 17-18 September 2016 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Concrete | en_US |
dc.subject | Thermal and Mechanical Properties | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | Energy Efficient Building | en_US |
dc.title | Artificial neural network approach for theprediction of thermal ınsulation properties of lightweight building materials for energy efficient buildings | en_US |
dc.title.alternative | Enerji verimli binalar için hafif yapı malzemelerinin ısı yalıtım özelliklerinin tahmininde yapay sinir ağı yaklaşımı | en_US |
dc.type | Conference Object | en_US |
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