The Rock Burst Hazard Evaluation Using Statistical Learning Approaches
Author(s) -
Jie Chen,
Jingkuan Gao,
Yuanyuan Pu,
Mingzhong Gao,
Like Wei,
Chong Wang,
Bo Peng,
Xusheng Zhao,
Guangchao Zhang,
Zhigang Zhang
Publication year - 2021
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2021/5576480
Subject(s) - rock burst , hazard , naive bayes classifier , bayes' theorem , mining engineering , engineering , geology , geotechnical engineering , computer science , machine learning , artificial intelligence , bayesian probability , support vector machine , coal , chemistry , organic chemistry , coal mining , waste management
State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China College of Water Resources and Hydropower, Sichuan University, Chengdu 610065, China Information Research Institute, Ministry of Emergency Management, Beijing 100029, China Sichuan Coal Industry Group Limited Liability Company, Chengdu 610091, China China Coal Technology and Engineering Group Chongqing Research Institute, Chongqing 400037, China College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom