Rockburst intensity grading prediction based on the LOF-ENN-KNN model. [PDF]
Ge H, Zhang J, Ma C, Hui K, Li Y, Wu Z.
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Prediction of Rockburst at Mufulira Mine, Copperbelt, Zambia
The overall aim of this study is to provide methods for prediction of rockburst in deep underground mines, using Mufulira mine in Zambia's Copperbelt as a case study. For over 40 years, Mufulira underground copper mine has been recording incidents of rockburst.
openaire
Rockburst grade evaluation and parameter sensitivity analysis based on SSA-PNN framework: Considering rock mass strength. [PDF]
Zhou X, Jiang Y, Wang Z, Wang Y.
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Comparative study of temperature effects on white sandstone and rockburst-like materials. [PDF]
Zhu Z +7 more
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Comparative study of unbalanced mining disaster risk level prediction based on artificial intelligence algorithms. [PDF]
Bin Z +7 more
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Theoretical study and application of energy extreme value discrimination method of softening zone for bursting hazard. [PDF]
Zhu X, Qi Q, Xiao Y.
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Study on the phenomenon of the ultra-large drilling cuttings quantity in rockburst coal seam. [PDF]
Zheng W, Pan Y, Shi T.
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AdaBoost model for rockburst intensity prediction considering class differences and quantitative characterization of misclassification difference. [PDF]
Zhang Y, Zhang G, Huang T, Liu Y, Hu N.
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Disaster treatment and multisource monitoring of rockbursts in isolated island coal face under hard roof conditions. [PDF]
Yun M, Ren J, Zhang L, Guo F, Chen X.
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Insights into fundamental problems of rockburst under the modern structure stress field. [PDF]
Rong H, Li N, Zhang H, Sun D, Huo B.
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