S. Ozsahin

发表

Prediction of the optimum veneer drying temperature for good bonding in plywood manufacturing by means of artificial neural network

Sukru Ozsahin, Ismail Aydin, S. Ozsahin, 2013, Wood Science and Technology.

PREDICTION OF THE FINANCIAL RETURN OF THE PAPER SECTOR WITH ARTIFICIAL NEURAL NETWORKS

Kadri Cemil Akyüz, Sukru Ozsahin, K. C. Akyüz, 2011 .

Modeling of the Prediction of Densification Behavior of Powder Metallurgy Al–Cu–Mg/B4C Composites Using Artificial Neural Networks

A. Çanakçı, T. Varol, S. Ozsahin, 2015, Acta Metallurgica Sinica (English Letters).

Prediction of Effect of Reinforcement Size and Volume Fraction on the Abrasive Wear Behavior of AA2014/B4Cp MMCs Using Artificial Neural Network

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2014 .

Artificial neural network-based prediction technique for coating thickness in Fe-Al coatings fabricated by mechanical milling

A. Çanakçı, F. Erdemir, T. Varol, 2018 .

Artificial neural network analysis of the effect of matrix size and milling time on the properties of flake Al-Cu-Mg alloy particles synthesized by ball milling

T. Varol, S. Ozsahin, 2019 .

Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024–B4C composites produced by powder metallurgy

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2013 .

Prediction of effect of volume fraction, compact pressure and milling time on properties of Al-Al2O3 MMCs using neural networks

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2013, Metals and Materials International.

Prediction of Effect of Reinforcement Size and Volume Fraction on the Abrasive Wear Behavior of AA2014/B4Cp MMCs Using Artificial Neural Network

A. Çanakçı, T. Varol, S. Ozsahin, 2014, Arabian Journal for Science and Engineering.

Prediction of effect of reinforcement content, flake size and flake time on the density and hardness of flake AA2024-SiC nanocomposites using neural networks

A. Çanakçı, T. Varol, S. Ozsahin, 2018 .

Artificial neural network to predict the effect of heat treatment, reinforcement size, and volume fraction on AlCuMg alloy matrix composite properties fabricated by stir casting method

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2015 .

Artificial neural network to predict the effect of heat treatment, reinforcement size, and volume fraction on AlCuMg alloy matrix composite properties fabricated by stir casting method

A. Çanakçı, T. Varol, S. Ozsahin, 2014, The International Journal of Advanced Manufacturing Technology.

Prediction of the influence of processing parameters on synthesis of Al2024-B4C composite powders in a planetary mill using an artificial neural network

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2014 .

Prediction of equilibrium moisture content and specific gravity of heat treated wood by artificial neural networks

Sukru Ozsahin, Mirac Murat, S. Ozsahin, 2018, European Journal of Wood and Wood Products.

Optimization of process parameters in oriented strand board manufacturing with artificial neural network analysis

Sukru Ozsahin, S. Ozsahin, 2013, European Journal of Wood and Wood Products.

Prediction of the optimum veneer drying temperature for good bonding in plywood manufacturing by means of artificial neural network

S. Ozsahin, I. Aydin, 2013, Wood Science and Technology.

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

S Tiryaki, A Malkocoglu, S Ozsahin, 2016 .

Artificial neural-network optimisation of nail size and spacings of plywood shear wall

S. Ozsahin, I. Aydin, Aydin Demir, 2021, Wood Material Science & Engineering.

Optimization of process parameters in oriented strand board manufacturing with artificial neural network analysis

S. Ozsahin, 2013, European Journal of Wood and Wood Products.

Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2012 .

Prediction of Non-Wood Forest Products Trade Using Artificial Neural Networks

Onur Tolga Okan, I. Yıldırım, S. Ozsahin, 2014 .

Analysis of the effect of a new process control agent technique on the mechanical milling process using a neural network model: Measurement and modeling

Temel Varol, Aykut Canakci, Sukru Ozsahin, 2013 .