Prediction Model of Water Abundance of Weakly Cemented Sandstone Aquifer Based on Principal Component Analysis–Back Propagation Neural Network of Grey Correlation Analysis Decision Making

Prediction Model of Water Abundance of Weakly Cemented Sandstone Aquifer Based on Principal Component Analysis–Back Propagation Neural Network of Grey Correlation Analysis Decision Making

At present, in the vast majority of coal mine production processes in China, the degree of hydrogeological exploration often lags behind geological exploration. The main difficulty in evaluating the water richness of coal seam top and bottom water-bearing beds is that the existing evaluation methods...

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Bibliographic Details
Main Authors: Wei Kuo, Xiaoqin Li, Yuguang Zhang, Wenping Li, Qiqing Wang, Liangning Li
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
water abundance
weakly cemented sandstone
grey relational analysis
principal component analysis
BP artificial neural network
Online Access:https://www.mdpi.com/2073-4441/16/4/551

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