Research on rock burst prediction based on an integrated model

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...

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Bibliographic Details
Main Authors: Junming Zhang, Qiyuan Xia, Hai Wu, Sailei Wei, Zhen Hu, Bing Du, Yuejing Yang, Huaixing Xiong
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Rock burst prediction
Microseismic data
Deep learning
Integrated model
Online Access:https://doi.org/10.1038/s41598-025-91518-7
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https://doi.org/10.1038/s41598-025-91518-7

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