Prediction of withdrawal strength of nail of uludag fir wood by using artificial neural network (anns)

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dc.contributor.authorYapıcı, Fatih
dc.contributor.authorEŞen, Rasit
dc.contributor.authorKurt, Seref
dc.contributor.authorLıkos, Erkan
dc.contributor.authorErkaymaz, Okan
dc.date.accessioned2024-09-29T16:34:58Z
dc.date.available2024-09-29T16:34:58Z
dc.date.issued2012
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, the effects of type of nails material and grain angle of wood on the withdrawal strength of nailhave been researched. For this purpose specimens were firstly cut in different sections from Uludağ Fir (Abiesbornmülleriana M.) wood. The tests of static nail strength were carried out according to the standards of TS EN13446. Secondly, an artificial neural network system was built by using data obtained in an experimental studyfor the prediction of withdrawal nail strength. The comparison between the experimental data and predicted datawas also carried outen_US
dc.identifier.endpage134en_US
dc.identifier.issn1303-2399
dc.identifier.issue3en_US
dc.identifier.startpage131en_US
dc.identifier.trdizinid183682en_US
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/183682
dc.identifier.urihttps://hdl.handle.net/20.500.14619/12403
dc.identifier.volume12en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofKastamonu Üniversitesi Orman Fakültesi Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOrman Mühendisliğien_US
dc.titlePrediction of withdrawal strength of nail of uludag fir wood by using artificial neural network (anns)en_US
dc.typeArticleen_US

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