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7
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September 2021 - July 2024
Education
August 2021 - July 2024
Publications
Publications (7)
To address the limitation of traditional machine learning models in explaining the rockburst intensity prediction process, this study proposes an interpretable rockburst intensity prediction model. The model was developed using 350 sets of actual rockburst sample data to explore the impact of input metrics on the final rockburst intensity level. Th...
Slope stability evaluation is a complex and uncertain system problem, and carrying out slope stability prediction is the prerequisite and foundation for slope disaster prevention. In order to achieve fast and accurate prediction of slope stability, this paper considers height, total slope angle, unit weight, cohesion, internal friction angle, and p...
Drift excavation induces excavation damaged zones (EDZ) due to stress redistribution, impacting drift stability and rock deformation support. Predicting EDZ thickness is crucial, but traditional machine learning models are susceptible to potential outliers in dataset. Directly eliminating outliers, however, impacts training effectiveness. This stud...
In order to make up for the shortcomings of traditional discontinuity occurrence clustering algorithms, such as narrow application scope, difficulty in effectively identifying noise points, and susceptibility to initial conditions and hyperparameters. In this work, the dominant partitioning of rock masses discontinuities based on information entrop...
To overcome the problem that the point prediction method of slope safety factor has uncertainty in its prediction and hence cannot a reliable slope safety factor, a quantile-based ensemble learning regression method is proposed that quantifies the uncertainty of point prediction models by predicting the value interval of the slope safety factor. Fi...
