Prediction of operational parameters effect on coal flotation using artificial neural network

Journal of University of Science and Technology Beijing: Mineral Metallurgy Materials (Eng Ed)

Volumn 15, Issue 5, 2008, Pages 528-533

  Jorjani, E ^a   Mesroghli, Sh ^a   Chelgani, S Chehreh ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

artificial neural networks; coal flotation; combustible recovery; operational parameters

Indexed keywords

BACKPROPAGATION; COAL; COAL INDUSTRY; COMPUTER SYSTEM RECOVERY; FLOTATION; METAL RECOVERY; METROPOLITAN AREA NETWORKS; RECOVERY; VEGETATION;

AND RECOVERIES; ARTIFICIAL NEURAL NETWORKS; COAL FLOTATION; COAL PARTICLE SIZES; COMBUSTIBLE RECOVERY; FROTHER; NEURAL NETWORK MODELS; OPERATIONAL CONDITIONS; OPERATIONAL PARAMETERS; PULP DENSITIES; ROTATION RATES; TRAINING AND TESTING;

NEURAL NETWORKS;

EID: 58149277313     PISSN: 10058850     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1005-8850(08)60099-7     Document Type: Article

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