Identification of Mine Water Inrush Source Based on PCA-BP Neural Network

Author:

Ning Mingcheng,Lu Haifeng

Publisher

Scientific Research Publishing, Inc.

Subject

Industrial and Manufacturing Engineering,Environmental Engineering

Reference13 articles.

1. China Coal Industry Association (2021) “14th Five-Year” High-Quality Development Guidance for Coal Industry. China Coal Association Political Research, No. 19, 1.

2. Yang, Y.G. and Huang, F.C. (2007) Application of Nonlinear Method in Mine Water Inrush Source Identification. Journal of China University of Mining and Technology, 36, 283-286.

3. Li, F.F., Zhang, F.B., Niu Z.R., Li, Y., Cui, J.Q. and Su B.Z. (2015) Analysis and Discrimination of Water Source of Water Drilling Hole by Set Intersection Method. Mining Safety and Environmental Protection, 42, 99-102.

4. The multiple logistic regression recognition model for mine water inrush source based on cluster analysis

5. Zhai, X.R., Tian, N.C., Zhang, H.M., Wu, J.W., Ren, Z.Q. and Gong, S.L. (2016) Identification of Mine Water Recharge Relationship Based on Water Chemical Composition and Cluster Analysis. Chinese Journal of Geological Disasters and Prevention, 27, 88-92.

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1. Research on mine water source classifications based on BO-CatBoost;Environmental Monitoring and Assessment;2024-09-02

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