Prediction and Optimisation of Copper Recovery in the Rougher Flotation Circuit
Bismark Amankwaa-Kyeremeh,
Conor McCamley,
Max Zanin
et al.
Abstract: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), linear regression (LR), and random forest (RF) algorithms on 15 rougher flotation variables at the BHP Olympic Dam. The predictive models’ performance was assessed using linear correlation (r), root mean square error… Show more
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