Rockburst prediction in kimberlite with unsupervised learning method and support vector classifier
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DOI: 10.1016/j.tust.2019.04.019
Abstract: Abstract One of the most serious types of mining disasters in many countries, rockburst leads to injuries, deaths, and damages to facilities, which explains the need to study its prediction. However, due to highly non-linear… read more here.
Keywords: rockburst prediction; learning method; unsupervised learning; prediction ... See more keywords