Open access
Jul 2026
Bayesian-Optimized Machine Learning Framework with SHAP Interpretation for Rockburst Intensity Prediction in Deep Underground Engineering
As mineral resource development moves deeper into the earth, mine dynamic disasters, represented by rockbursts, occur frequently. Due to the combined effects of in situ rock stress state and geostress conditions, it is difficult to obtain reliable prediction results using traditional empirical criteria or single-index...
Jin-Zhao Zhang, Libao Jia, Zhixin Ma et al.
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