Modeling and prediction of ventilation methane emissions of U.S. longwall mines using supervised artificial neural networks

International Journal of Coal Geology

Volumn 73, Issue 3-4, 2008, Pages 371-387

  Karacan, C Özgen ^a  

^a NATIONAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH   (United States)

Author keywords

Artificial neural networks; Longwall mining; Methane emissions; Principle component analysis; Ventilation

Indexed keywords

METHANE EMISSIONS;

MATHEMATICAL MODELS; MEAN SQUARE ERROR; METHANE; MINE VENTILATION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

LONGWALL MINING;

ARTIFICIAL NEURAL NETWORK; COAL SEAM; COALBED METHANE; EMISSION; EMISSION INVENTORY; LONGWALL MINING; MODELING; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; VENTILATION;

NORTH AMERICA; UNITED STATES;

EID: 38049004430     PISSN: 01665162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.coal.2007.09.003     Document Type: Article

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