LSTM multivariate model based microseismic time-series prediction and rockburst early warning
Aiming at the prominent rockburst risk in deep mining of Kongzhuang coal mine with high in-situ stress and thick hard roof, this study takes microseismic monitoring time-series data as the research object, and constructs a set of rockburst prediction and early warning method based on LSTM multivaria...
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| Hoofdauteurs: | , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2026-05-01
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| Reeks: | Frontiers in Earth Science |
| Onderwerpen: | |
| Online toegang: | https://www.frontiersin.org/articles/10.3389/feart.2026.1840913/full |
| Tags: |
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