Abstract
The diversification of mining in different geological contexts and the need to work at higher depths has shown that the stability graph method has disregarded scenarios with the presence of water and different confinement regimes. It is for this reason that the present investigation sought to incorporate these scenarios through the Gradient Boosting Machine algorithm. For this purpose, scenarios with different levels of water pressure were simulated and the degree of confinement around the excavations was considered. The generated model was based on the binary classification criterion, I feel the predicted classes, “stable” and “unstable”; with which an AUC value of 0.88 was obtained, which demonstrated an excellent predictive capacity of the GBM model. Likewise, the advantages over the traditional method were demonstrated, since a component of rigor and generalization is added.
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Camacho, H., Pehovaz-Alvarez, H., Raymundo, C. (2021). Stability Method for Pit Dimensioning Obtained Using the Gradient Boosting Machine Algorithm in Underground Mining. In: Trzcielinski, S., Mrugalska, B., Karwowski, W., Rossi, E., Di Nicolantonio, M. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2021. Lecture Notes in Networks and Systems, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-80462-6_24
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DOI: https://doi.org/10.1007/978-3-030-80462-6_24
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