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

Peng-cheng YAN; Xiao-fei ZHANG; Song-hang SHANG; Chao-yin ZHANG

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

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 10 >Page 3091 > Article

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

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

Peng-cheng YAN^1、*, Xiao-fei ZHANG^{2、2; *;}, Song-hang SHANG^2、2;, and Chao-yin ZHANG^2、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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DOI: 10.3964/j.issn.1000-0593(2022)10-3091-06 Cite this Article

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 Copy Citation Text

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References

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

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