Artificial Intelligence in Mineral Processing Plants: An Overview
- 10.2991/icaita-16.2016.69How to use a DOI?
- artificial intelligence; applications; mineral processing; flotation
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.
- © 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/).
Cite this article
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 -