Neural network approach to the prediction of seismic events based on low-frequency signal monitoring of the Kuril-Kamchatka and Japanese regions

• Published in: Annals of Geophysics
• Main Authors: Popova, Irina, Rozhnoi, Alexander, Solovieva, Maria, Levin, Boris, Hayakawa, Masashi, Hobara, Yasuhide, Biagi, Pier Francesco, Schwingenschuh, Konrad
• Format: Article in Journal/Newspaper
• Language: English
• Published: Istituto Nazionale di Geofisica e Vulcanologia, INGV 2013
• Subjects: VLF/LF signal propagation; Neural network; Earthquakes; Wave propagation; Seismic risk; Petropavlovsk; Petropavlovsk-Kamchatsky; Kamchatka
• Online Access: https://www.annalsofgeophysics.eu/index.php/annals/article/view/6224; https://doi.org/10.4401/ag-6224

Very-low-frequency/ low-frequency (VLF/LF) sub-ionospheric radiowave monitoring has been widely used in recent years to analyze earthquake preparatory processes. The connection between earthquakes with M ≥5.5 and nighttime disturbances of signal amplitude and phase has been established. Thus, it is...