Novel Ensemble Tree Solution for Rockburst Prediction Using Deep Forest
Mathematics, 2022 The occurrence of rockburst can cause significant disasters in underground rock engineering. It is crucial to predict and prevent rockburst in deep tunnels and mines. In this paper, the deficiencies of ensemble learning algorithms in rockburst prediction
Diyuan Li +4 more
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Research on Rockburst Risk Level Prediction Method Based on LightGBM−TCN−RF
Applied Sciences, 2022 Rockburst hazards pose a severe threat to mine safety. To accurately predict the risk level of rockburst, a LightGBM−TCN−RF prediction model is proposed in this paper.
Li Ma +3 more
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Application research of DHNN model in prediction of classification of rockburst intensity
Gong-kuang zidonghua, 2018 In view of problems of randomness and subjectivity in determining weight of existing rockburst prediction methods，a discrete Hopfield neural network (DHNN) model for prediction of classification of rockburst intensity was proposed。The model selects ...
XU Jia +5 more
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Development of Rockburst Research: A Comprehensive Review
Applied Sciences, 2022 Rockburst is a difficult problem in underground resource development and infrastructure construction. With scientific and technological progress, more research technologies and methods to prevent rockburst have been proposed and applied. Research content
Meng Wu +3 more
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D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method
Energies, 2022 Rockburst may cause damage to engineering equipment, disrupt construction progress, and endanger human life. To this day, the occurrence of rockburst remains complex and difficult to predict.
Yu Zhang +4 more
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Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms
Mathematics, 2023 Rockburst is a common and huge hazard in underground engineering, and the scientific prediction of rockburst disasters can reduce the risks caused by rockburst.
Jiachuang Wang, Haoji Ma, Xianhang Yan
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Rockburst Prediction Based on the KPCA-APSO-SVM Model and Its Engineering Application
Shock and Vibration, 2021 The progress of construction and safe production in mining, water conservancy, tunnels, and other types of deep underground engineering is seriously affected by rockburst disasters. This makes it essential to accurately predict rockburst intensity.
Yuefeng Li +5 more
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Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network
Geofluids, 2022 Rockburst is one of the main disasters in railway tunnel construction. In order to accurately predict the rockburst intensity level of the railway tunnel, the rock stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet
Min Zhang
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Rockburst prediction based on optimization of unascertained measure theory with normal cloud
Complex & Intelligent Systems, 2023 Rockburst is one of the common geological disasters in deep underground areas with high stress. Rockburst prediction is an important measure to know in advance the risk of rockburst hazards to take a scientific approach to the response.
Xingmiao Hu +4 more
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A Decision Tree for Rockburst Conditions Prediction [PDF]
Applied Sciences, 2023 This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a single DT model (Unique-DT) for all rock types.
Dominic Owusu-Ansah +4 more
openaire +4 more sources