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: Irina Popova, Alexander Rozhnoi, Maria Solovieva, Boris Levin, Masashi Hayakawa, Yasuhide Hobara, Pier Francesco Biagi, Konrad Schwingenschuh
• Format: Article in Journal/Newspaper
• Language: English
• Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2013
• Subjects: VLF/LF signal propagation; Neural network; Earthquakes; Meteorology. Climatology; QC851-999; Geophysics. Cosmic physics; QC801-809; Petropavlovsk; Petropavlovsk-Kamchatsky; Kamchatka
• Online Access: https://doi.org/10.4401/ag-6224; https://doaj.org/article/3615f6813f91455bbd35c50c861d1668

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...