Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods

Nadia Mery, Denis Marcotte

Article (2022)

Access this document
External link
An external link is available for this item
View at the official publisher
Department:
Department of Civil, Geological and Mining Engineering
PolyPublie URL:
https://publications.polymtl.ca/49234/
Journal Title :
Mathematical Geosciences ( vol. 54 , no. 2 )
Publisher:
Springer-Verlag
DOI:
10.1007/s11004-021-09971-9
Official URL:
https://doi.org/10.1007/s11004-021-09971-9
OAI:
oai:publications.polymtl.ca:49234
ORCID
Date Deposited:
18 Apr 2023 14:59
Last Modified:
14 Oct 2026 14:04
Cite in APA 7:
Mery, N., & Marcotte, D. (2022). Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods. Mathematical Geosciences, 54(2), 363-387. https://doi.org/10.1007/s11004-021-09971-9

Statistics

Dimensions

Repository Staff Only

View Item
View Item