Technology advances in semiautogenous milling have not been accompanied by advances in the operation of these mills, mainly in the estimates of load levels and the power of the mill. This article presents a grey box model that improves estimate of power. The obtained results are satisfactory and demonstrate that both the phenomenological model and the neural network strengthen each other, and the results are better than those obtained individually.
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