Predicting gold accessibility from mineralogical characterization using machine learning algorithms
Information about accessibility is of great relevance for gold recovery studies. Obtaining these variables from machine learning models can greatly assist in quickly determining accessibility. Few studies have been published relating the mineralogy of the gold ore process and the application of arti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S223878542400139X |