[1]郑建常.基于AlexNet卷积神经网络的地震预测初步研究[J].华南地震,2024,(00):19-21.[doi:10.13512/j.hndz.2024.S1.08]
 ZHENG Jianchang.A Preliminary Study of Earthquake Prediction Based on AlexNet[J].,2024,(00):19-21.[doi:10.13512/j.hndz.2024.S1.08]
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基于AlexNet卷积神经网络的地震预测初步研究()
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华南地震[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年00期
页码:
19-21
栏目:
强震短、临预测/预报新理论、新方法探索
出版日期:
2024-12-31

文章信息/Info

Title:
A Preliminary Study of Earthquake Prediction Based on AlexNet
文章编号:
1001-8662(2024)S1-0019-03
作者:
郑建常
山东省地震局,济南 250102
Author(s):
ZHENG Jianchang
Shandong Earthquake Agency , Jinan 250102, China
关键词:
地震预测深度学习神经网络人工智能
Keywords:
Earthquake forecastDeep learningNeural networkArtificial intelligence
分类号:
P315
DOI:
10.13512/j.hndz.2024.S1.08
文献标志码:
A

参考文献/References:

[1] Bi J M,Jiang C S,Cao F Y. Research progress of aftershock forecasting in the early stage after the mainshock[J]. Reviews of Geophysics and Planetary Physics,2023,54(50):498-511.
[2] Kavianpour P,Kavianpour M,Jahani E. et al. Earthquake magnitude prediction using spatia-temporal features learn?ing based on hybrid cnn-bilstm model[C]//2021 7th Interna?tional Conference on Signal Processing and Intelligent Sys?tems(ICSPIS).Tehran,Iran,Islamic Republic:IEEE,2021.
[3] Beroza G C,Segou M,Mostafa Mousavi S.Machine learning and earthquake forecasting—next steps[J]. Nature communi?cations,2021,12(1):4761.
[4] Koehler J,Li W,Faber J,et al.Testing the potential of deep learning in earthquake forecasting[J]. arXiv,2023(07):01812.
[5] Krizhevsky A,Sutskever I,Hinton G E. Imagenet classifica?tion with deep convolutional neural networks[J]. Advances in neural information processing systems,2012(25):1-9.

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备注/Memo

备注/Memo:
收稿日期:2024-10-10
基金项目:山东省科技创新团队
作者简介:郑建常(1978-),男,博士,研究员,主要从事地震分析预报工作。E-mail:zjcmail@yeah.net
更新日期/Last Update: 2024-12-31