Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering

Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering

In view of the inaccuracy of rock movement observation data and the inaccuracy of mining subsidence prediction parameters, a prediction model of mining subsidence parameters based on fuzzy clustering is proposed. Through the analysis of the main geological and mineral characteristics of mining subsi...

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Bibliographic Details
Main Authors: Fei Cheng, Jun Yang, Ziwen Zhang, Jingliang Yu, Xuelian Wang, Yongdong Wu, Zhengyi Guo, Hui Li, Meng Xu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/7827104
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