Machine learning methods for rockburst prediction-state-of-the-art review

One of the most serious mining disasters in underground mines is rockburst phenomena. They can lead to injuries and even fatalities as well as damage to underground openings and mining equipment. This has forced many researchers to investigate alternative methods to predict the potential for rockbur...

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Bibliographic Details
Main Authors: Yuanyuan Pu, Derek B. Apel, Victor Liu, Hani Mitri
Format: Article
Language:English
Published: Elsevier 2019-07-01
Series:International Journal of Mining Science and Technology
Online Access:http://www.sciencedirect.com/science/article/pii/S2095268619302812