Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method

Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method

In this study conducted in the Shendong mining area, this paper tackles the challenge of estimating mining subsidence parameters in the absence of empirical values. The study employs a tailored pattern recognition method specifically designed for mining subsidence in a specific working face. The goa...

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Bibliographic Details
Main Authors: Huabin Chai, Mingtao Xu, Pengju Guan, Yahui Ding, Hui Xu, Yuqiao Zhao
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
mining subsidence
parameter inversion
modular vector method
pattern recognition
improved algorithm
Online Access:https://www.mdpi.com/2076-3417/13/24/13272

Internet

https://www.mdpi.com/2076-3417/13/24/13272

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