Author:
Ma Ke,Xie Hongbo,Ren Fuqiang,Chang Yuan
Funder
National Natural Science Foundation of China
Reference47 articles.
1. A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction;Basnet;Tunnelling and Underground Space Technology,2023
2. Outlier detection: Methods, models, and classification;Boukerche;ACM Computing Surveys (CSUR),2020
3. Chen, T., Guestrin, C., 2016. Xgboost: A scalable tree boosting system, Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, pp. 785-794.
4. Failure mechanism and infrared radiation characteristic of hard siltstone induced by stratification effect;Cheng;Journal of Mountain Science,2024
5. Rock burst precursor electromagnetic radiation signal recognition method and early warning application based on recurrent neural networks;Di;Rock Mechanics and Rock Engineering,2021