Results 11 to 20 of about 422 (172)

Research on Rockburst Classification Prediction Based on BP-SVM Model

open access: yesIEEE 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
doaj   +2 more sources

Novel stacking models based on SMOTE for the prediction of rockburst grades at four deep gold mines

open access: yesUnderground Space
Rockburst 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
doaj   +3 more sources

Rockburst Intensity Level Prediction Method Based on FA-SSA-PNN Model

open access: yesEnergies, 2022
To accurately and reliably predict the occurrence of rockburst disasters, a rockburst intensity level prediction model based on FA-SSA-PNN is proposed. Crding to the internal and external factors of rockburst occurrence, six rockburst influencing factors
Gang Xu   +4 more
doaj   +1 more source

A Decision Tree for Rockburst Conditions Prediction

open access: yesApplied 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   +3 more sources

Development of Rockburst Research: A Comprehensive Review

open access: yesApplied 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
doaj   +1 more source

Probabilistic classification prediction of rockburst intensity in a deep buried high geo-stress rock tunnel during engineering investigation

open access: yesShuiwen 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
doaj   +1 more source

Regional prediction and prevention analysis of rockburst hazard based on the Gaussian process for binary classification

open access: yesFrontiers 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
doaj   +1 more source

Research on Rockburst Risk Level Prediction Method Based on LightGBM−TCN−RF

open access: yesApplied 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
doaj   +1 more source

Data-Driven Model for Rockburst Prediction [PDF]

open access: yesMathematical 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
openaire   +1 more source

D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method

open access: yesEnergies, 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
doaj   +1 more source

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