Artificial Intelligence in Mineral Processing Plants: An Overview

DOI

10.2991/icaita-16.2016.69How to use a DOI?

Keywords

artificial intelligence; applications; mineral processing; flotation

Abstract

This work review the applications of artificial intelligence in the field of mineral processing in the last decade. The mineral processing industry is characterized for the lack of reliable models and on-line information about key process variables. Therefore, heuristic methods have been extensively used to accommodate the plant operation looking for better metallurgical results. Applications to flotation plants are discussed.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Luis Bergh
PY  - 2016/01
DA  - 2016/01
TI  - Artificial Intelligence in Mineral Processing Plants: An Overview
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 278
EP  - 281
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.69
DO  - 10.2991/icaita-16.2016.69
ID  - Bergh2016/01
ER  -