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Understanding the impact of coal blending decisions on the prediction of coke quality: a data mining approach |
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| Authors: | North Lauren A. Blackmore Karen L. Nesbitt Keith V. Hockings Kim Mahoney Merrick R. |
| Affiliation: | 1.Centre for Ironmaking Materials Research, School of Engineering, The Newcastle Institute for Energy and Resources, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia ;2.School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, 2308, Australia ;3.Coal Technical Marketing, BHP, 480 Queen Street, Brisbane, QLD, 4000, Australia ; |
| Abstract: | International Journal of Coal Science & Technology - The accurate prediction of coke quality is important for the selection and valuation of metallurgical coals. Whilst many prediction models... |
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