Title :
Modeling of grinding process by artificial neural network for calcite mineral
Author :
Yakup Umucu;Mehmet Fatih Çağlar;Lütfullah Gündüz;Volkan Bozkurt;Vedat Deniz
Author_Institution :
Suleyman Demirel University, Department of Mining Engineering, Isparta, Turkey
fDate :
6/1/2011 12:00:00 AM
Abstract :
The grindability properties of calcite sample belong to Afyonkarahisar region were investigated at batch grinding conditions based on a kinetic model. The obtained kinetic model parameters were used to estimate the product size distribution by artificial neural networks (ANN). Then, the experimental and neural network prediction results are compared.
Keywords :
"Artificial neural networks","Mathematical model","Training","Kinetic theory","Data models","Biological neural networks","Materials"
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Print_ISBN :
978-1-61284-919-5
DOI :
10.1109/INISTA.2011.5946142
