Selahattin Bardak

Performance evaluation of multiple adaptive regression splines, teaching–learning based optimization and conventional regression techniques in predicting mechanical properties of impregnated wood

Sebahattin Tiryaki, Hüseyin Tan, Selahattin Bardak, 2019, European Journal of Wood and Wood Products.

Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques

Selahattin Bardak, Timuçin Bardak, S. Bardak, 2017 .

Predicting the Impacts of Various Factors on Failure Load of Screw Joints for Particleboard Using Artificial Neural Networks

Selahattin Bardak, 2018 .

Determination of mechanical behaviors of different furniture assemblies by digital image correlation method

Selahattin Bardak, Timuçin Bardak, Kadir Kayahan, 2018 .

Predicting Effects of Selected Impregnation Processes on the Observed Bending Strength of Wood, with Use of Data Mining Models

Selahattin Bardak, Hüseyin Peker, Timuçin Bardak, 2021 .

Experimental investigation and prediction of bonding strength of Oriental beech (Fagus orientalis Lipsky) bonded with polyvinyl acetate adhesive

Sebahattin Tiryaki, Selahattin Bardak, Timuçin Bardak, 2015 .

Investigation and neural network prediction of wood bonding quality based on pressing conditions

Sebahattin Tiryaki, Selahattin Bardak, Gökay Nemli, 2016 .

The effect of decor paper properties and adhesive type on some properties of particleboard

Selahattin Bardak, Gökay Nemli, S. Bardak, 2011 .