Prediction method for rockburst hazard areas based on microseismic spatiotemporal flow map
The spatiotemporal distribution characteristics of microseismic events are closely related to the intensity of rockbursts in coal mines. Prediction methods and visual representations of microseismic data based on machine learning are important technical means for monitoring and early warning of rock...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado: |
Editorial Department of Industry and Mine Automation
2025-07-01
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| Series: | Gong-kuang zidonghua |
| Assuntos: | |
| Acceso en liña: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2025050041 |
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