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ARTIFICIAL NEURAL NETWORK MODELING TO PREDICT OPTIMUM POWER CONSUMPTION IN WOOD MACHINING
Publication date: 2015-03-31
Drewno 2015;58(196):109-125
CITATIONS (4):
1.
Differentiating individuals of Armillaria species in New Zealand forests
Sarah Dodd, Farhat Shah, Mark Kimberley, Chanatda Somchit, Ian Hood
New Zealand Journal of Forestry Science
Sarah Dodd, Farhat Shah, Mark Kimberley, Chanatda Somchit, Ian Hood
New Zealand Journal of Forestry Science
2.
Development of an Artificial Neural Network Model to Minimize Power Consumption in the Milling of Heat-Treated and Untreated Wood
Şükrü ÖZŞAHİN, Hilal SİNGER
Kastamonu Üniversitesi Orman Fakültesi Dergisi
Şükrü ÖZŞAHİN, Hilal SİNGER
Kastamonu Üniversitesi Orman Fakültesi Dergisi
3.
Optimization of wood machining parameters using artificial neural network in CNC router
Ali Cakmak, Abdulkadir Malkocoglu, Sukru Ozsahin
Materials Science and Technology
Ali Cakmak, Abdulkadir Malkocoglu, Sukru Ozsahin
Materials Science and Technology
4.
ODUN VE ODUN KÖKENLİ MALZEMELERDE İŞLEME MEKANİKLERİNİ ETKİLEYEN FAKTÖRLER
Ali CAKMAK
Turkish Journal of Forest Science
Ali CAKMAK
Turkish Journal of Forest Science
| eISSN: | 2956-9141 |
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