Prediction and Optimisation of Copper Recovery in the Rougher Flotation Circuit

Prediction and Optimisation of Copper Recovery in the Rougher Flotation Circuit

In this work, the prediction and optimisation of copper flotation has been conducted in the rougher flotation circuit. The copper-recovery prediction involved the application of support vector machine (SVM), Gaussian process regression (GPR), multi-layer perceptron artificial neural network (ANN), l...

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Bibliographic Details
Main Authors: Bismark Amankwaa-Kyeremeh, Conor McCamley, Max Zanin, Christopher Greet, Kathy Ehrig, Richmond K. Asamoah
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Minerals
Subjects:
froth flotation
gaussian process regression (GPR)
machine learning
copper recovery
random forest
simulated annealing (SA) optimisation
Online Access:https://www.mdpi.com/2075-163X/14/1/36

Internet

https://www.mdpi.com/2075-163X/14/1/36

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