Evidence map›Paper›PMID 39548178›Full record

ArticleScientific reports2024

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

Yunzhen Zhang, Guangquan Zhang, Tengda Huang, Yuxin Liu, Nanyan Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yunzhen ZhangSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Guangquan ZhangSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China. zhanggq@wust.edu.cn.
Tengda HuangSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Yuxin LiuSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.
Nanyan HuSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, Hubei, China.

Funding

National Natural Science Foundation of China 52304191Wuhan key research and development plan project 2023020402010624
6 · The paper itself

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 specific rock conditions and stress environments, the rock mechanical and stress parameters between different intensities of rockbursts are further explored, an AdaBoost model considering the differences in the hierarchy is established, and a Flash Hill-Climbing method is proposed to optimize the hyperparameters in the classification model. Finally, a misclassification difference index (MCDI) is defined to quantitatively characterize the severity of misclassification. The results show that the accuracy of the Improved AdaBoost model is about 2.3% higher than that of the Normal AdaBoost model, and the Misclassification Difference Index (MCDI) of the Normal AdaBoost model is 05, while the the Improved AdaBoost model is 00. The model can provide a theoretical reference for rockburst prediction.

Indexed as

Flash Hill-climbing methodImproved Adaboost modelMisclassification difference indexRockburst intensity prediction

Identifiers

PMID39548178
PMCPMC11568196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.