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

Yapıcı, FatihEŞen, RasitKurt, SerefLıkos, ErkanErkaymaz, Okan2024-09-292024-09-2920121303-2399https://search.trdizin.gov.tr/tr/yayin/detay/183682https://hdl.handle.net/20.500.14619/12403In 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 outeninfo:eu-repo/semantics/openAccessOrman MühendisliğiPrediction of withdrawal strength of nail of uludag fir wood by using artificial neural network (anns)Article134313118368212