Estimation of Mineral Resources with Machine Learning Techniques

Estimation of Mineral Resources with Machine Learning Techniques

In this study, the application of adaptive fuzzy inference systems (ANFISs) and artificial neural networks (NNs) for grade and reserve estimation of a copper deposit was studied. More specifically, a feedforward NN with backpropagation and two Sugeno- type ANFIS were developed for grade and reserve...

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Bibliographic Details
Main Authors: Michael Galetakis, Anthoula Vasileiou, Antonia Rogdaki, Vasilios Deligiorgis, Stella Raka
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Materials Proceedings
Subjects:
mineral resources
reserve estimation
artificial neural networks
adaptive neuro-fuzzy inference systems
Online Access:https://www.mdpi.com/2673-4605/5/1/122

Internet

https://www.mdpi.com/2673-4605/5/1/122

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