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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Yuantian Sun, Guichen Li, Sen Yang
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
Accès en ligne:https://doaj.org/article/ee80cccec679496b970b2cd23a24d5e5
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires