A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data

The prediction and classification of rockburst risk based on microseismic data is the premise of preventing rockbursts during deep mine excavation. By reviewing previous studies, this paper finds two problems that hinder the rockburst prediction: 1) there is a lack of research on the distribution fe...

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Hlavní autoři:	Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-05-01
Edice:	Frontiers in Earth Science
Témata:	rockburst prediction rockburst types deep learning microseismic data prototype learning
On-line přístup:	https://www.frontiersin.org/articles/10.3389/feart.2025.1601090/full
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