Imbalanced rock burst assessment using variational autoencoder-enhanced gradient boosting algorithms and explainability

Author:

Lin Shan,Liang Zenglong,Dong Miao,Guo Hongwei,Zheng Hong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Reference94 articles.

1. Developing intelligent classification models for rock burst prediction after recognizing significant predictor variables, Section 1: Literature review and data preprocessing procedure;Afraei;Tunnelling and Underground Space Technology,2019

2. Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier;Ahmad;Complexity,2022

3. Large-scale human metabolomics studies: A strategy for data (pre-) processing and validation;Bijlsma;Analytical Chemistry,2006

4. Analysis on energy distribution and prediction of rock burst during deep mining excavation in linglong gold mine;Cai;Chinese Journal of Rock Mechanics and Engineering,2001

5. SMOTE: Synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Research,2002

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