Improved expert system of rockburst intensity level prediction based on machine learning and data-driven: Supported by 1114 rockburst cases in 197 rock underground projects

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Authors: Hong-Li Pang, Fengqiang Gong, Ming-zhong Gao, Jin-hao Dai
Cited by: 2
References: 40

Fields of Study & Subjects

Rock Mechanics and Modeling Landslides and related hazards Tunneling and Rock Mechanics

Publication details

Journal / source
Journal of Central South University
Publisher
Springer Science and Business Media LLC
Volume
33
Issue
1
Pages
335–356
Publication date
1 January 2026
Language
EN