Kastamonu University Journal of Forestry Faculty 1303-2399 1309-4181 Kastamonu University Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs) Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs) Yapıcı Fatih Esen Raşit Kurt Şeref Lıkos Erkan Erkaymaz Okan 09 01 2012 12 3 131 134 12 24 2014 Copyright © 2001, Kastamonu University Journal of Forestry Faculty 2001 Kastamonu University Journal of Forestry Faculty

In 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 Uludağ Fir (Abies bornmülleriana 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

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