Long Short-Term Memory Networks for Pattern Recognition of Synthetical Complete Earthquake Catalog
Chen Cao,
Xiangbin Wu,
Lizhi Yang,
Qian Zhang,
Xianying Wang,
David A. Yuen and
Gang Luo
Additional contact information
Chen Cao: School of Geosciences and Info-Physics, Central South University, Changsha 410012, China
Xiangbin Wu: School of Geosciences and Info-Physics, Central South University, Changsha 410012, China
Lizhi Yang: School of Geosciences and Info-Physics, Central South University, Changsha 410012, China
Qian Zhang: School of Geosciences and Info-Physics, Central South University, Changsha 410012, China
Xianying Wang: Guangzhou Marine Geological Survey, Guangzhou 510760, China
David A. Yuen: Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY 10026, USA
Gang Luo: School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Sustainability, 2021, vol. 13, issue 9, 1-13
Abstract:
Exploring the spatiotemporal distribution of earthquake activity, especially earthquake migration of fault systems, can greatly to understand the basic mechanics of earthquakes and the assessment of earthquake risk. By establishing a three-dimensional strike-slip fault model, to derive the stress response and fault slip along the fault under regional stress conditions. Our study helps to create a long-term, complete earthquake catalog. We modelled Long-Short Term Memory (LSTM) networks for pattern recognition of the synthetical earthquake catalog. The performance of the models was compared using the mean-square error (MSE). Our results showed clearly the application of LSTM showed a meaningful result of 0.08% in the MSE values. Our best model can predict the time and magnitude of the earthquakes with a magnitude greater than Mw = 6.5 with a similar clustering period. These results showed conclusively that applying LSTM in a spatiotemporal series prediction provides a potential application in the study of earthquake mechanics and forecasting of major earthquake events.
Keywords: long short-term memory networks; pattern recognition; earthquake catalog; physics-based simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/13/9/4905/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/9/4905/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:9:p:4905-:d:544476
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().