标题:Classification and prediction of rock burst based on BP neural network
作者:Yongkui, Shi ;Pengrui, Li ;Ying, Wang ;Jingyu, Zhang
作者机构:[Yongkui, Shi ] State Key Laboratory Breeding Base for Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao, 更多
来源:Electronic Journal of Geotechnical Engineering
出版年:2015
卷:20
期:18
页码:5839-5848
摘要:According to the characteristics of rock burst with fewer sample example data, factors influencing rock burst and the correlation between these factors are analyzed. By using BP Neural Network and other related theory and method of nonlinear discipline, prediction of rock burst hazard under small sample data is realized. Rock burst prediction model based on the BP Neural Network is established and verified from detailed accuracy and confusion matrix. Predicted results of eight groups and the actual situation is entirely consistent with accurate rate of 100%. This not only has a certain research value, but also provides a new approach for the prediction of rock burst hazard. © 2015 ejge.
收录类别:EI
资源类型:期刊论文
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