International Journal of Nonferrous Metallurgy
Vol.5 No.3(2016), Paper ID 69252, 10
pages
DOI:10.4236/ijnm.2016.53004
Estimation of Copper and Molybdenum Grades and Recoveries in the Industrial Flotation Plant Using the Artificial Neural Network
Ebrahim Allahkarami, Omid Salmani Nuri, Aliakbar Abdollahzadeh, Bahram Rezai, Mostafa Chegini
Amirkabir University of Technology, Tehran, Iran
Amirkabir University of Technology, Tehran, Iran
University of Kashan, Kashan, Iran
Amirkabir University of Technology, Tehran, Iran
Amirkabir University of Technology, Tehran, Iran
Copyright © 2016 Ebrahim Allahkarami, Omid Salmani Nuri, Aliakbar Abdollahzadeh, Bahram Rezai, Mostafa Chegini et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Allahkarami, E. , Nuri, O. , Abdollahzadeh, A. , Rezai, B. and Chegini, M. (2016) Estimation of Copper and Molybdenum Grades and Recoveries in the Industrial Flotation Plant Using the Artificial Neural Network.
International Journal of Nonferrous Metallurgy,
5, 23-32. doi:
10.4236/ijnm.2016.53004.