Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble
Abstract Rockbursts are highly destructive geological events that pose serious risks to the safety of underground engineering projects, including tunnels, mines, and other subterranean structures. Accurate prediction of rockburst occurrence and intensity is crucial for preventing and mitigating thei...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
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| Series: | Geomechanics and Geophysics for Geo-Energy and Geo-Resources |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40948-024-00931-1 |
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