Grade Control with Ensembled Machine Learning: A Comparative Case Study at the Carmen de Andacollo Copper Mine

The main goal of grade control is the prediction of material destination based on all available data. The common approach to grade control is based on estimated maps obtained through kriging, inverse distance estimation, or nearest neighbor; however, capturing complex relations from data is not stra...

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Veröffentlicht in:	Natural resources research (New York, N.Y.) Jg. 31; H. 2; S. 785 - 800
Hauptverfasser:	da Silva, Camilla Zacche, Nisenson, Jed, Boisvert, Jeff
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2022 Springer Nature B.V
Schlagworte:	Algorithms Case studies Chemistry and Earth Sciences Comparative studies Computer Science Copper Decision making Earth and Environmental Science Earth Sciences Fossil Fuels (incl. Carbon Capture) Geography Geostatistics Learning algorithms Machine learning Mathematical Modeling and Industrial Mathematics Mineral Resources Model accuracy Neural networks Original Paper Physics Quality Radial basis function Statistics for Engineering Sustainable Development Workflow Support vector regression Collocated co-kriging Short term modeling Neural networks Kriging Classification
ISSN:	1520-7439, 1573-8981
Online-Zugang:	Volltext
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