Advancing Flotation Process Modeling: Bayesian vs. Sklearn Approaches for Gold Grade Prediction
This study explores Bayesian Ridge Regression and PyMC-based probabilistic modelling to predict the cumulative grade of gold based on key operational variables in gold flotation. By integrating prior knowledge and quantifying uncertainty, the Bayesian approach enhances both interpretability and pred...
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| Format: | Journal Article |
| Language: | English |
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MDPI AG
2025
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| Online Access: | http://hdl.handle.net/20.500.11937/97944 |