Predicting ionospheric precursors before large earthquakes using neural network computing and the potential development of an earthquake early warning system-Reference-Cited by-同舟云学术

Predicting ionospheric precursors before large earthquakes using neural network computing and the potential development of an earthquake early warning system

Published:2022-05-03 Issue:3 Volume:113 Page:1519-1542
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Lin Jyh-Woei^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-022-05356-1.pdf

Reference47 articles.

1. Akhoondzadeh M (2019) Kalman filter and Neural Network methods for detecting irregular variations of TEC around the time of powerful Mexico (Mw=8.2) earthquake of September 08, 2017. J Earth Space Phys 44(4):87–97. https://doi.org/10.22059/jesphys.2018.258251.1007007

2. Baquirin RBM, Fernandez PL (2018) Artificial neural network (ANN) in a small dataset to determine neutrality in the pronunciation of English as a foreign language in filipino call center agents. Intel Artif 21(62):134–144. https://doi.org/10.4114/intartif.vol21iss62pp134-144

3. Belkin M, Hsu D, Ma S, Mandal S (2019) Reconciling modern machine-learning practice and the classical bias–variance trade-off. Proc Natl Acad Sci USA 116(32):15849–15854. https://doi.org/10.1073/pnas.1903070116

4. Bhadra A, Bandyopadhyay A, Clakraborty S, Kumar T (2017) Development and testing of an ANN model for estimation of runoff from a snow covered catchment. J Inst Eng India 98:29–39. https://doi.org/10.1007/s40030-017-0203-5

5. Bo L, Wang L, Jiao L (2006) Feature scaling for Kernel Fisher discriminant analysis using leave-one-out cross validation. Neural Comput 18(4):961–978. https://doi.org/10.1162/neco.2006.18.4.961

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere–Atmosphere–Ionosphere Coupling Channels;Atmosphere;2024-08-21

2. A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content;Remote Sensing;2023-12-11