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Huang, Pinghua, Yang, Zhongyuan, Wang, Xinyi, Ding, Fengfan (2019) Research on Piper-PCA-Bayes-LOOCV discrimination model of water inrush source in mines. Arabian Journal of Geosciences, 12 (11) doi:10.1007/s12517-019-4500-3

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Reference TypeJournal (article/letter/editorial)
TitleResearch on Piper-PCA-Bayes-LOOCV discrimination model of water inrush source in mines
JournalArabian Journal of Geosciences
AuthorsHuang, PinghuaAuthor
Yang, ZhongyuanAuthor
Wang, XinyiAuthor
Ding, FengfanAuthor
Year2019 (June)Volume12
Issue11
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-019-4500-3Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID960227Long-form Identifiermindat:1:5:960227:8
GUID0
Full ReferenceHuang, Pinghua, Yang, Zhongyuan, Wang, Xinyi, Ding, Fengfan (2019) Research on Piper-PCA-Bayes-LOOCV discrimination model of water inrush source in mines. Arabian Journal of Geosciences, 12 (11) doi:10.1007/s12517-019-4500-3
Plain TextHuang, Pinghua, Yang, Zhongyuan, Wang, Xinyi, Ding, Fengfan (2019) Research on Piper-PCA-Bayes-LOOCV discrimination model of water inrush source in mines. Arabian Journal of Geosciences, 12 (11) doi:10.1007/s12517-019-4500-3
In(2019, June) Arabian Journal of Geosciences Vol. 12 (11) Springer Science and Business Media LLC

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Huang, Pinghua, Wang, Xinyi (2018) Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area. Geofluids, 2018. 1-10 doi:10.1155/2018/9205025
Wang, Dandan, Shi, Longqing (2019) Source identification of mine water inrush: a discussion on the application of hydrochemical method. Arabian Journal of Geosciences, 12 (2) doi:10.1007/s12517-018-4076-3
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Li, Bo, Zhang, Huiling, Zhang, Wenping, Li, Tao (2021) The PCA-KD-KNN-based water chemistry identification model of water inrush source type in mine and its application. Arabian Journal of Geosciences, 14 (6) doi:10.1007/s12517-021-06878-x
Xu, Xing, Wang, Xingzhi, Li, Ke, Li, Yuanzhi (2021) Source discrimination of mine water inrush based on Elman neural network globally optimized by genetic algorithm. Arabian Journal of Geosciences, 14 (13) doi:10.1007/s12517-021-06821-0
Wang, Xiangchun, Zhao, Qingxian, Wu, Zhongliang, Liu, Baohua, Huang, Tianwei (2019) Research on vertical cable seismic multiples imaging processing. Arabian Journal of Geosciences, 12 (4) doi:10.1007/s12517-019-4322-3
Shi, Longqing, Wang, Ying, Qiu, Mei, Wang, Min (2019) Assessment of water inrush risk based on the groundwater modeling system—a case study in the Jiaojia Gold Mine Area, China. Arabian Journal of Geosciences, 12 (24) doi:10.1007/s12517-019-4986-8
Liu, Qin, Sun, Yajun, Xu, Zhimin, Xu, Gang (2018) Application of the comprehensive identification model in analyzing the source of water inrush. Arabian Journal of Geosciences, 11 (9) doi:10.1007/s12517-018-3550-2
Yang, Zhongyuan, Huang, Pinghua, Ding, Fengfan (2020) Groundwater Hydrogeochemical Mechanisms and the Connectivity of Multilayer Aquifers in a Coal Mining Region. Mine Water and the Environment, 39 (4) 808-822 doi:10.1007/s10230-020-00716-4
Zhao, Xin, Yang, Xiaohua (2019) Experimental study on water inflow characteristics of tunnel in the fault fracture zone. Arabian Journal of Geosciences, 12 (13) doi:10.1007/s12517-019-4561-3
 
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