Prediction of withdrawal strength of nail of uludag fir wood by using artificial neural network (anns)
Küçük Resim Yok
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In 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 out
Açıklama
Anahtar Kelimeler
Orman Mühendisliği
Kaynak
Kastamonu Üniversitesi Orman Fakültesi Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
3
