Prediction of time-energy-location of microseismic events induced by deep coal-energy mining: Deep learning approach
Deep coal-energy mining frequently results in microseismic (MS) events, which may be a precursor to the risk of rockbursts and pose risks to human safety and infrastructure. Therefore, quantitatively predicting the time, energy, and location (TEL) of future MS events is crucial for understanding and...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Journal of Rock Mechanics and Geotechnical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674775524002518 |
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