Supervised and Unsupervised General Framework for Rockburst Prediction Based on Feature Contrast of Long- and Short-Term Microseismic Data

Author:

Zhang Haikuan,Li Haitao,Zhang Xiufeng,Xue Shanshan,Yin Haichen,Li Atao,Shi Xiaoshan

Publisher

Elsevier BV

Reference51 articles.

1. A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction;P M S Basnet;Tunnelling and Underground Space Technology,2023

2. Rockburst in underground excavations: A review of mechanism, classification, and prediction methods;M Askaripour;Underground Space,2022

3. A review of rockburst: Experiments, theories, and simulations;M He;Journal of Rock Mechanics and Geotechnical Engineering,2023

4. Machine learning methods for rockburst prediction-stateof-the-art review;Y Pu;International Journal of Mining Science and Technology,2019

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