Prediction of pyrite oxidation in a coal washing waste pile using a hybrid method, coupling artificial neural networks and simulated annealing (ANN/SA)

Journal of Cleaner Production

Volumn 137, Issue , 2016, Pages 1129-1137

  Bahrami, Saeed ^a   Doulati Ardejani, Faramarz ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Acid mine drainage generation; Artificial neural networks; Coal washing waste pile; Hybrid method; Pyrite oxidation; Simulated annealing

Indexed keywords

ABILITY TESTING; COAL; COAL DEPOSITS; COAL MINES; COAL PREPARATION; FORECASTING; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; NEURAL NETWORKS; OXIDATION; PYRITES; REGRESSION ANALYSIS; SIMULATED ANNEALING; WASHING;

ACID MINE DRAINAGE; CORRELATION COEFFICIENT; HYBRID METHOD; LEAST-SQUARES REGRESSION METHOD; LEVENBERG-MARQUARDT ALGORITHM; PREDICTIVE ABILITIES; PYRITE OXIDATION; WASTE PILES;

PILES;

EID: 84990955044     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.08.005     Document Type: Article

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