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Jair Cervantes et al.
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Strength of ensemble learning in multiclass classification of rockburst intensity
Junfei Zhang et al.
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Zhenyu Han et al.
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Weizhang Liang et al.
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Feng-qiang Gong et al.
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Yuanyuan Pu et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2019)
Rock burst prediction probability model based on case analysis
Shunchuan Wu et al.
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Classified prediction model of rockburst using rough sets-normal cloud
Ran Liu et al.
NEURAL COMPUTING & APPLICATIONS (2019)
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Sajjad Afraei et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2019)
Prediction of rock burst in underground caverns based on rough set and extensible comprehensive evaluation
Yiguo Xue et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
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B. P. Simser
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Machine learning methods for rockburst prediction-state-of-the-art review
Yuanyuan Pu et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2019)
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Qinji Jia et al.
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Ning Li et al.
NATURAL HAZARDS (2018)
Evaluation of burst liability in kimberlite using support vector machine
Yuanyuan Pu et al.
ACTA GEOPHYSICA (2018)
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Guangqi Chen et al.
INTERNATIONAL JOURNAL OF GEOMECHANICS (2018)
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Yuanyuan Pu et al.
ACTA GEOPHYSICA (2018)
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Feng-qiang Gong et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)
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Review of published rockburst events and their contributing factors
Ali Keneti et al.
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Ning Li et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
Rockburst characteristics and numerical simulation based on a strain energy density index: A case study of a roadway in Linglong gold mine, China
Lei Weng et al.
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Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines
Jian Zhou et al.
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA (2016)
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JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2016)
Rockburst laboratory tests database - Application of data mining techniques
Manchao He et al.
ENGINEERING GEOLOGY (2015)
An Index for Estimating the Stability of Brittle Surrounding Rock Mass: FAI and its Engineering Application
C. Q. Zhang et al.
ROCK MECHANICS AND ROCK ENGINEERING (2011)
Prediction of uniaxial compressive strength of sandstones using petrography-based models
K. Zorlu et al.
ENGINEERING GEOLOGY (2008)
A complete fuzzy decision tree technique
C Olaru et al.
FUZZY SETS AND SYSTEMS (2003)
A review of techniques, advances and outstanding issues in numerical modelling for rock mechanics and rock engineering
L Jing
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2003)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)