Simultaneous prediction of coal rank parameters based on ultimate analysis using regression and artificial neural network

International Journal of Coal Geology

Volumn 83, Issue 1, 2010, Pages 31-34

  Chelgani, S Chehreh ^a   Mesroghli, Sh ^b   Hower, James C ^c  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Artificial neural network; Gross calorific value; Regression; Vitrinite maximum reflectance

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COAL RANKS; COAL SAMPLE; KENTUCKY; MULTIVARIABLE REGRESSION; PETROGRAPHIC ANALYSIS; TEST DATA; TOTAL SULFUR; ULTIMATE ANALYSIS; VITRINITES; VOLATILE MATTERS;

CALORIFIC VALUE; COAL; COAL INDUSTRY; FORECASTING; OXYGEN; REFLECTION; REGRESSION ANALYSIS; STATISTICAL TESTS; SULFUR;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COAL RANK; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; VITRINITE REFLECTANCE;

EID: 77953620859     PISSN: 01665162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.coal.2010.03.004     Document Type: Article

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