Study on deep learning methods for coal burst risk prediction based on mining-induced seismicity quantification

Abstract The assessment of Coal burst risk (CBR) is the premise of bump disaster prevention and control. It is the implementation criterion to guide various rock burst prevention and control measures. The existing static prediction and evaluation methods for CBR cannot be effectively combined with t...

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Autori principali:	Xianggang Cheng, Wei Qiao, Hu He
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2023-11-01
Serie:	Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Soggetti:	Coal burst Deep learning method Mining-induced seismicity Risk assessment Fractal quantification
Accesso online:	https://doi.org/10.1007/s40948-023-00684-3
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