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Machine learning characterization of a two-seam coal deposit

  • Mineral Mining Technology
  • Published:
Journal of Mining Science Aims and scope

Abstract

In this research, geostatistical modeling and simulation algorithms are employed to characterize the coal deposit. The results of such modeling are then fed to a machine learning algorithm — the generalized regression neural network. The resulting intelligent model can then be employed to predict values in real time. This will ensure operational flexibility and enhance the mining and blending of coal to meet power plant or contract requirements.

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Authors and Affiliations

  1. Department of Construction Management and Engineering, North Dakota State University, 118H AR/LA, Dept. no. 2475, Fargo, ND, 58078, USA

    E. Asa

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  1. E. Asa
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Correspondence to E. Asa.

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Original English Text © E. Asa, 2011. The article is published in the original.

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Asa, E. Machine learning characterization of a two-seam coal deposit. J Min Sci 47, 761–770 (2011). https://doi.org/10.1134/S1062739147060086

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  • DOI: https://doi.org/10.1134/S1062739147060086

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