Exploring machine learning techniques for open stope stability prediction: A comparative study and feature importance analysis

Exploring machine learning techniques for open stope stability prediction: A comparative study and feature importance analysis

The stability of underground excavations is essential for ensuring the safety of mining operations. Classical stability assessment methods, established in empirical formulas and rock mass classification systems, have long been employed for evaluating stope stability in underground mining. Stability...

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Bibliographic Details
Main Authors: Alicja Szmigiel, Derek B. Apel, Yashar Pourrahimian, Hassan Dehghanpour, Yuanyuan Pu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-07-01
Series:Rock Mechanics Bulletin
Subjects:
Machine learning
Stope stability
Feature importance
Artificial neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2773230424000453
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