An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection

An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection

Selecting the most appropriate mining method to recover mineral resources is a critical decision-making task in mining project development. This study introduces an artificial intelligence-based mining methods recommendation system (AI-MMRS) for the pre-selection of underground mining methods. The s...

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Bibliographic Details
Main Authors: Elsa Pansilvania Andre Manjate, Natsuo Okada, Yoko Ohtomo, Tsuyoshi Adachi, Bernardo Miguel Bene, Takahiko Arima, Youhei Kawamura
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mining
Subjects:
mining methods selection
underground mining
decision-making
recommendation system
memory-based collaborative filtering
classification machine learning
Online Access:https://www.mdpi.com/2673-6489/4/4/42
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