The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility
Machine learning (ML) applications are increasing their footprint in underground mine planning, enabled by the gradual enrichment of research methods. Indeed, improvements in prediction results have been accelerated in areas such as mining dilution, stope stability, ore grade, and equipment availabi...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
SAGE Publications
2024
|
| Online Access: | http://hdl.handle.net/20.500.11937/96905 |