Source Discrimination of Mine Water Inrush Using Multiple Combinations of an Improved Support Vector Machine Model

Author:

Wei Zhonglin,Dong DonglinORCID,Ji Yuan,Ding Jia,Yu Lujia

Funder

National Natural Science Foundation of China

Ministry of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Water Science and Technology

Reference25 articles.

1. Bi YS, Wu JW, Zhai XR, Wang GT, Shen SH, Qing XB (2021) Discriminant analysis of mine water inrush sources with multi-aquifer based on multivariate statistical analysis. Environ Earth Sci 80:144

2. Bukowski P (2011) Water hazard assessment in active shafts in upper Silesian Coal Basin mines. Mine Water Environ 30:302–311

3. Dong DL, Chen ZY, Lin G, Li X, Zhang RM, Ji Y (2019) Combining the Fisher feature extraction and support vector machine methods to identify the water inrush source: a case study of the Wuhai mining area mine. Water Environ 38:855–862

4. He CY, Zhou MR, Yan PC (2016) Application of the identification of mine water inrush with LIF spectrometry and KNN algorithm combined with PCA. Spectrosc Spectr Anal 36:2234–2237 (in Chinese)

5. Huang PH, Chen JS (2011) Fisher identify and mixing model based on multivariate statistical analysis of mine water inrush sources. J China Coal Soc 36:131–136 (in Chinese)

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