Results 21 to 30 of about 412 (171)
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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Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning [PDF]
Scientific ReportsRockbursts are a significant geological hazard in deep underground engineering, and accurate short-term risk prediction can mitigate safety risks to personnel and equipment.
Zibin Li +4 more
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Research on Rockburst Classification Prediction Based on BP-SVM Model
IEEE Access, 2022 Rockburst is a complex destabilization phenomenon which is a combination of multiple factors, the study of rockburst for classification prediction can help prevent and control engineering geological hazards, reduce casualties and property damage.
Jiang Guo +3 more
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Novel stacking models based on SMOTE for the prediction of rockburst grades at four deep gold mines
Underground SpaceRockburst is a frequently encountered hazard during the production of deep gold mines. Accurate prediction of rockburst is an important measure to prevent rockburst in gold mines.
Peng Xiao +3 more
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A Decision Tree for Rockburst Conditions Prediction
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
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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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Shuiwen dizhi gongcheng dizhi, 2022 Rockburst is a dynamic process of a sudden and rapid release of elastic strain energy stored in hard rock mass during underground excavation. The occurrence of rockburst disaster during tunnel construction will cause serious consequences such as ...
Weijun LIU +5 more
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Data-Driven Model for Rockburst Prediction [PDF]
Mathematical Problems in Engineering, 2020 Rockburst is an extremely complex dynamic instability phenomenon for rock engineering. Due to the complex and unclear mechanism of rockburst, it is difficult to predict precisely and evaluate reasonably the potential of rockburst. With the development of data science and increasing of case history from rock engineering, the data-driven method provides ...
Hongbo Zhao, Bingrui Chen
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Frontiers in Earth Science, 2022 Rockburst is a complex dynamic disaster in coal mining and affected by many factors. To accurately predict the rockburst hazard among complex influencing factors, a prediction model of rockburst hazard based on the Gaussian process for binary ...
Tianwei Lan +7 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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