Analysis of Identification of Seismic Event Properties Based On the permutation entropy of the Variational mode decomposition and support vector machine optimized by pelican optimization algorithm-Reference-Cited by-同舟云学术

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Analysis of Identification of Seismic Event Properties Based On the permutation entropy of the Variational mode decomposition and support vector machine optimized by pelican optimization algorithm

Published:2023-12-22 Issue: Volume:41 Page:124-129
ISSN:
Container-title:Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security
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Author:

Zhang Xiaoyu¹^ORCID,Chen Ligang¹^ORCID,Chen Meng¹^ORCID,Jia Luozhao¹^ORCID

Affiliation:

1. Henan Earthquake Agency, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661638.3661666

Reference14 articles.

1. LI X B SHANG X Y PENG K. Classification of seismic events and quarry blasts using singular value decomposition and support vector machine [J]. Journal of Testing and Evaluation 2016 45(1).

2. Wei Y G, Yang Q l, Wang T T, . 2019: Earthquake and explosion identification based on Deep Learning residual network model. Acta Seismologica Sinica, 2019, 41(05): 646-657.

3. Tian X Wang M J Zhang X . 2022. Discrimination of earthquake and quarry blast based on multi-input convolutional neural network. Chinese Journal of Geophysics (in Chinese) 65(5): 1802-1812.

4. Application of improved GWO algorithm in SVM parameter optimization [J].;Song Y S;Transducer and Microssystem Technologies,2022

5. wavelet feature research on seismic waveforms of earthquakes and explosions [J].;Huang H M;Acta Seismologica Sinica,2010

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