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Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

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Published in:Energy Science & Engineering
Format: Online Article RSS Article
Published: 2026
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container_title Energy Science & Engineering
description
discipline_display Energy
discipline_facet Energy
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genre Journal Article
id rss_article:89783
institution FRELIP
journal_source_facet Energy Science & Engineering
last_indexed 2026-06-11T02:00:41.891Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
Energy
General
Energy
subject_facet Energy
General
Energy
title Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
title_auth Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
title_full Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
title_fullStr Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
title_full_unstemmed Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
title_short Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors
title_sort interpretable tree‐based models for predicting short‐term rockburst risk considering multiple factors
topic Energy
General
Energy
url https://scijournals.onlinelibrary.wiley.com/doi/10.1002/ese3.70513?af=R