Deep learning implementations in mining applications: a compact critical review

Deep learning is a sub-field of artificial intelligence that combines feature engineering and classification in one method. It is a data-driven technique that optimises a predictive model via learning from a large dataset. Digitisation in industry has included acquisition and storage of a variety of...

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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 56; no. 12; pp. 14367 - 14402
Main Authors:	Azhari, Faris, Sennersten, Charlotte C., Lindley, Craig A., Sellers, Ewan
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.12.2023 Springer Springer Nature B.V
Subjects:	Adoption of innovations Agricultural development Agriculture Annan teknik Application Artificial Intelligence Automation Classification Computer Science Data mining Data points Datasets Decision making Deep learning Digitization Engineering and Technology Extraction Geology Industrial development Innovations Learning Machine learning Manufacturing Mechanization Medicine Metals Mine reclamation Mineral industry Mining Mining industry New technology Other Engineering and Technologies Prediction models Research applications Research Article Sensors Storage Teknik Value chain Deep learning Mining applications Geology Neural networks Reclamation Exploration Big data Extraction Artificial intelligence
ISSN:	0269-2821, 1573-7462, 1573-7462
Online Access:	Get full text
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