Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines
Mine water inrush seriously threatens the safety of coal mine production. Quick and accurate identification of mine water inrush sources is of great significance to preventing mine water hazards. This paper combined partial least squares-discriminate analysis (PLS-DA) with inrush water chemical comp...
Saved in:
| Main Authors: | Yaoshan Bi, Jiwen Wu, Xiaorong Zhai, Shuhao Shen, Libin Tang, Kai Huang, Dawei Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/6663827 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Locality preserving partial least squares discriminant analysis for face recognition
by: Muhammad Aminu, et al.
Published: (2022-02-01) -
Prevention of Water Inrushes in Deep Coal Mining over the Ordovician Aquifer: A Case Study in the Wutongzhuang Coal Mine of China
by: Huichao Yin, et al.
Published: (2021-01-01) -
The Classification of OECD Countries in Terms of Life Satisfaction Using Partial Least Squares Discriminant Analysis
by: Esra Polat
Published: (2020-04-01) -
Application and Research of Gangue Partial-Filling Mining Method in Preventing Water Inrush from Floor
by: Zhenzhong Pang, et al.
Published: (2022-01-01) -
Rapid Discrimination of the Geographical Origins of an Oolong Tea (Anxi-Tieguanyin) by Near-Infrared Spectroscopy and Partial Least Squares Discriminant Analysis
by: Si-Min Yan, et al.
Published: (2014-01-01)