| Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024–B4C composites produced by powder metallurgy T Varol, A Canakci, S Ozsahin Composites Part B: Engineering 54, 224-233, 2013 | 146 | 2013 |
| Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024–B4C composites produced by powder metallurgy T Varol, A Canakci, S Ozsahin Composites Part B: Engineering 54, 224-233, 2013 | 146 | 2013 |
| Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks A Canakci, S Ozsahin, T Varol Powder technology 228, 26-35, 2012 | 130 | 2012 |
| Optimization of some panel manufacturing parameters for the best bonding strength of plywood C Demirkir, Ş Özsahin, I Aydin, G Colakoglu International Journal of Adhesion and Adhesives 46, 14-20, 2013 | 91 | 2013 |
| Using artificial neural networks for modeling surface roughness of wood in machining process S Tiryaki, A Malkoçoğlu, Ş Özşahin Construction and Building Materials 66, 329-335, 2014 | 75 | 2014 |
| Prediction of Effect of Reinforcement Size and Volume Fraction on the Abrasive Wear Behavior of AA2014/B4Cp MMCs Using Artificial Neural Network A Canakci, S Ozsahin, T Varol Arabian Journal for Science and Engineering 39, 6351-6361, 2014 | 70 | 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 A Canakci, T Varol, S Ozsahin Measurement 46 (6), 1818-1827, 2013 | 65 | 2013 |
| Prediction of effect of reinforcement content, flake size and flake time on the density and hardness of flake AA2024-SiC nanocomposites using neural networks T Varol, A Canakci, S Ozsahin Journal of Alloys and Compounds 739, 1005-1014, 2018 | 61 | 2018 |
| Comparison of artificial neural network and multiple linear regression models to predict optimum bonding strength of heat treated woods S Tiryaki, Ş Özşahin, İ Yıldırım International Journal of Adhesion and Adhesives 55, 29-36, 2014 | 56 | 2014 |
| Prediction of effect of volume fraction, compact pressure and milling time on properties of Al-Al2O3 MMCs using neural networks A Canakci, T Varol, S Ozsahin Metals and Materials International 19, 519-526, 2013 | 56 | 2013 |
| Modeling of the Prediction of Densification Behavior of Powder Metallurgy Al–Cu–Mg/B4C Composites Using Artificial Neural Networks T Varol, A Canakci, S Ozsahin Acta Metallurgica Sinica (English Letters) 28, 182-195, 2015 | 55 | 2015 |
| The use of an artificial neural network for modeling the moisture absorption and thickness swelling of oriented strand board Ş Özşahin BioResources 7 (1), 1053-1067, 2012 | 52 | 2012 |
| Optimization of process parameters in oriented strand board manufacturing with artificial neural network analysis O Sukru European Journal of Wood and Wood Products 71 (6), 769-777, 2013 | 51 | 2013 |
| Prediction of equilibrium moisture content and specific gravity of heat treated wood by artificial neural networks S Ozsahin, M Murat European journal of wood and wood products 76, 563-572, 2018 | 49 | 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 … A Canakci, T Varol, S Ozsahin The International Journal of Advanced Manufacturing Technology 78, 305-317, 2015 | 43 | 2015 |
| Prediction of the influence of processing parameters on synthesis of Al2024-B4C composite powders in a planetary mill using an artificial neural network T Varol, A Canakci, S Ozsahin Science and Engineering of Composite Materials 21 (3), 411-420, 2014 | 41 | 2014 |
| Employing artificial neural networks for minimizing surface roughness and power consumption in abrasive machining of wood S Tiryaki, Ş Özşahin, A Aydın European Journal of Wood and Wood Products 75, 347-358, 2017 | 39 | 2017 |
| Prediction of the optimum veneer drying temperature for good bonding in plywood manufacturing by means of artificial neural network S Ozsahin, I Aydin Wood science and technology 48, 59-70, 2014 | 38 | 2014 |
| Prediction of the financial return of the paper sector with artificial neural networks I Yildirim, S Ozsahin, KC Akyuz BioResources 6 (4), 4076-4091, 2011 | 36 | 2011 |
| 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 Particulate Science and Technology 37 (3), 381-390, 2019 | 22 | 2019 |
