Rockburst Interpretation by a Data-Driven Approach: A Comparative Study

Accurately evaluating rockburst intensity has attracted much attention in these recent years, as it can guide the design of engineering in deep underground conditions and avoid injury to people. In this study, a new ensemble classifier combining a random forest classifier (RF) and beetle antennae se...

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Bibliographic Details
Main Authors: Yuantian Sun, Guichen Li, Sen Yang
Format: article
Language:EN
Published: MDPI AG 2021
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Online Access:https://doaj.org/article/ee80cccec679496b970b2cd23a24d5e5
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