Research on rock burst prediction based on an integrated model

Abstract Rockburst is a significant safety threat in coal mining, influenced by complex nonlinear dynamic characteristics and multi-factor coupling. This study proposes a rockburst risk prediction method based on the SSA-CNN-MoLSTM-Attention model. The model integrates the local feature extraction c...

Полное описание

Библиографические подробности

Главные авторы:	Junming Zhang, Qiyuan Xia, Hai Wu, Sailei Wei, Zhen Hu, Bing Du, Yuejing Yang, Huaixing Xiong
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-05-01
Серии:	Scientific Reports
Предметы:	Rock burst prediction Microseismic data Deep learning Integrated model
Online-ссылка:	https://doi.org/10.1038/s41598-025-91518-7
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