Supervised and unsupervised general framework for rockburst risk prediction based on feature contrast of long-term and short-term microseismic data
Abstract Short-term rockburst risk prediction based on microseismic (MS) data is a significant research task to overcome the rockburst challenge during the excavation stage. By reviewing previous short-term rockburst risk prediction methods based on MS data, this paper discovers three problems that...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2025-11-01
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| シリーズ: | Geomechanics and Geophysics for Geo-Energy and Geo-Resources |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s40948-025-01057-8 |
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