S. Tiryaki

发表

Application of total quality management practices in Turkish forest products industry.

A. Aydın, K. Üçüncü, S. Tiryaki, 2015 .

Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood

A. Aydın, S. Tiryaki, S. Bardak, 2016, Strength of Materials.

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 .

Analysis of volumetric swelling and shrinkage of heat treated woods: Experimental and artificial neural network modeling approach

A. Aydın, S. Tiryaki, S. Bardak, 2016 .

Using artificial neural networks for modeling surface roughness of wood in machining process

S. Tiryaki, Şükrü Özşahin, A. Malkoçoğlu, 2014 .

Comparison of artificial neural network and multiple linear regression models to predict optimum bonding strength of heat treated woods

Şükrü Özşahin, Sebahattin Tiryaki, S. Tiryaki, 2014 .

Impact of Performance Appraisal on Employee Motivation and Productivity in Turkish Forest Products Industry: A Structural Equation Modeling Analysis

A. Aydın, S. Tiryaki, 2018 .

Modeling of Wood Bonding Strength Based on Soaking Temperature and Soaking Time by means of Artificial Neural Networks

A. Aydın, S. Tiryaki, S. Bardak, 2016 .

Predictive Models for Modulus of Rupture and Modulus of Elasticity of Particleboard Manufactured in Different Pressing Conditions

A. Aydın, S. Tiryaki, H. Kalaycıoğlu, 2017 .

Multivariate Hotelling T2 Control Chart for Monitoring Some Quality Characteristics in Medium Density Fiberboard Manufacturing Process

A. Aydın, S. Tiryaki, 2022, Drvna industrija.

Utilization potential of waste wood subjected to insect and fungi degradation for particleboard manufacturing

S. Tiryaki, G. Nemli, Esra Ayan, 2017, European Journal of Wood and Wood Products.

An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model

Sebahattin Tiryaki, Aytaç Aydin, A. Aydın, 2014 .

Influence of residue type on quality properties of particleboard manufactured from fast-grown tree of heaven (Ailanthus altissima (Mill.) Swingle)

S. Tiryaki, S. Bardak, G. Nemli, 2019 .

The influence of raw material growth region, anatomical structure and chemical composition of wood on the quality properties of particleboards

S. Tiryaki, S. Bardak, G. Nemli, 2017 .

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

Sebahattin Tiryaki, Selahattin Bardak, Gökay Nemli, 2016 .

Application of Artificial Neural Networks for predicting tensile index and brightness in bleaching pulp

Sebahattin Tiryaki, Onur Tolga Okan, S. Tiryaki, 2015 .

An application of artificial neural networks for modeling formaldehyde emission based on process parameters in particleboard manufacturing process

Şükrü Özşahin, Sebahattin Tiryaki, A. Aydın, 2017, Clean Technologies and Environmental Policy.

Employing artificial neural networks for minimizing surface roughness and power consumption in abrasive machining of wood

Şükrü Özşahin, Sebahattin Tiryaki, Aytaç Aydın, 2017, European Journal of Wood and Wood Products.

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.

Predicting modulus of rupture (MOR) and modulus of elasticity (MOE) of heat treated woods by artificial neural networks

Sebahattin Tiryaki, Coşkun Hamzaçebi, C. Hamzaçebi, 2014 .

Evaluation of process parameters for lower surface roughness in wood machining by using Taguchi design methodology

C. Hamzaçebi, S. Tiryaki, A. Malkocoglu, 2015, European Journal of Wood and Wood Products.

Artificial neural network modelling to predict optimum power consumption in wood machining

S Tiryaki, A Malkocoglu, S Ozsahin, 2016 .

Investigating The Relationship Between Some Mechanical Properties and Weight Loss in Heat Treated Woods, page:149-154

S. Tiryaki, 2015 .

Consumer preferences for flooring in Turkey in terms of purchasing and use

Nadir Ersen, S. Tiryaki, I. Akyüz, 2016 .

Utilization potential of waste wood subjected to insect and fungi degradation for particleboard manufacturing

S. Tiryaki, G. Nemli, Esra Ayan, 2018, European Journal of Wood and Wood Products.