Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3091(2022)

Research on Mine Water Inrush Identification Based on LIF and LSTM Neural Network

Peng-cheng YAN1、*, Xiao-fei ZHANG2、2; *;, Song-hang SHANG2、2;, and Chao-yin ZHANG2、2;
Author Affiliations
  • 11. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine, Anhui University of Science and Technology, Huainan 232001, China
  • 22. College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China
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    References(1)

    [4] Mengran Zhou, Pengcheng Yan, Feng Hu et al. IEEE Access, 7, 107129(2019).

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    Peng-cheng YAN, Xiao-fei ZHANG, Song-hang SHANG, Chao-yin ZHANG. Research on Mine Water Inrush Identification Based on LIF and LSTM Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3091

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    Paper Information

    Category: Research Articles

    Received: Aug. 4, 2021

    Accepted: Nov. 5, 2021

    Published Online: Nov. 23, 2022

    The Author Email: YAN Peng-cheng (PCYan1988@126.com)

    DOI:10.3964/j.issn.1000-0593(2022)10-3091-06

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