Researching significant earthquakes in Taiwan using two back-propagation neural network models-Reference-Cited by-同舟云学术

Researching significant earthquakes in Taiwan using two back-propagation neural network models

Published:2020-07-09 Issue:3 Volume:103 Page:3563-3590
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/s11069-020-04144-z.pdf

Reference83 articles.

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2. Abaimov SG, Turcotte DL, Shcherbakov R, Rundle JB, Yakovlev G, Goltz C, Newman WI (2008) Earthquakes: recurrence and interoccurrence times, earthquakes: simulations. Sources Tsunamis. https://doi.org/10.1007/978-3-7643-8757-0_20

3. Alippi C (2014) Intelligence for embedded systems: a methodological approach. Springer, Basel

4. Asencio-Cortés G, Martínez-Álvarez F, Troncoso A, Morales-Esteban A (2017) Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks. Neural Comput Appl 28:1043–1055. https://doi.org/10.1007/s00521-015-2121-7

5. Bei ZH, Hui‐Hong CH, Yao-Lin SH (2015) Calculation of co-seismic effects of the Nepal MS8.1 earthquake on 25 April 2015. Chin J Geophys 58:269–279. https://doi.org/10.1002/cjg2.220172

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