AdaBoost model for rockburst intensity prediction considering class differences and quantitative characterization of misclassification difference

Abstract With the resource development gradually into the deep, rock explosion phenomenon is more and more frequent. The suddenness and harmfulness of rockbursts threaten the safe development of underground resources. In order to more accurately predict the possible intensities of rockbursts in spec...

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Bibliographic Details
Main Authors: Yunzhen Zhang, Guangquan Zhang, Tengda Huang, Yuxin Liu, Nanyan Hu
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-79141-4
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