Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)

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dc.contributor.authorYapici, Fatih
dc.contributor.authorEsen, Rasit
dc.contributor.authorKurt, Seref
dc.contributor.authorLikos, Erkan
dc.contributor.authorErkaymaz, Okan
dc.date.accessioned2024-09-29T16:10:18Z
dc.date.available2024-09-29T16:10:18Z
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 nail have been researched. For this purpose specimens were firstly cut in different sections from Uludag Fir (Abies bornmulleriana M.) wood. The tests of static nail strength were carried out according to the standards of TS EN 13446. Secondly, an artificial neural network system was built by using data obtained in an experimental study for the prediction of withdrawal nail strength. The comparison between the experimental data and predicted data was also carried out.en_US
dc.identifier.endpage134en_US
dc.identifier.issn1303-2399
dc.identifier.issue3en_US
dc.identifier.startpage131en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8106
dc.identifier.volume12en_US
dc.identifier.wosWOS:000410030900021en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherKastamonu Univ, Orman Faken_US
dc.relation.ispartofKastamonu University Journal of Forestry Facultyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFiren_US
dc.subjectwithdrawal strengthen_US
dc.subjectnailen_US
dc.subjectartificial neural networksen_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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