Prediction model of water inrush risk level of coal seam floor based on KPCA-DBO-SVM

Prediction model of water inrush risk level of coal seam floor based on KPCA-DBO-SVM

Abstract To predict the risk of water inrush from coal seam floor more effectively, a prediction model of water inrush risk level of coal seam floor based on KPCA-DBO-SVM is proposed. Firstly, the risk level of water inrush of coal seam floor is graded based on the influencing factors of water inrus...

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Bibliographic Details
Main Authors: Wei Wang, Huangrui Wang, Xuping Li, Yun Qi, Xinchao Cui, Chenhao Bai
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Coal seam floor permeation
Kernel principal component analysis (KPCA)
Dung beetle optimization algorithm (DBO)
Support vector machine (SVM)
Flood risk prediction
Online Access:https://doi.org/10.1038/s41598-024-83904-4
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https://doi.org/10.1038/s41598-024-83904-4

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