An LSTM Approach for SAG Mill Operational Relative-Hardness Prediction

An LSTM Approach for SAG Mill Operational Relative-Hardness Prediction

Ore hardness plays a critical role in comminution circuits. Ore hardness is usually characterized at sample support in order to populate geometallurgical block models. However, the required attributes are not always available and suffer for lack of temporal resolution. We propose an operational rela...

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Bibliographic Details
Main Authors: Sebastian Avalos, Willy Kracht, Julian M. Ortiz
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Minerals
Subjects:
semi-autogenous grinding mill
operational hardness
energy consumption
mining
deep learning
long short-term memory
Online Access:https://www.mdpi.com/2075-163X/10/9/734

Internet

https://www.mdpi.com/2075-163X/10/9/734

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