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Entropy 2018, 20(9), 691; https://doi.org/10.3390/e20090691

The Behavior of VLF/LF Variations Associated with Geomagnetic Activity, Earthquakes, and the Quiet Condition Using a Neural Network Approach

1
Institute of Physics of the Earth RAS, Bolshaya Gruzinskay, 10-1, Moscow 123242, Russia
2
Kamchatska Branch of Geophysical Survey of RAS, Boulevard Piypa, Petropavlovsk-Kamchatsky 683006, Russia
3
Advanced Wireless Communications Research Center, University of Electro-Communications, Chofu, Tokyo 182-8585, Japan
*
Author to whom correspondence should be addressed.
Received: 22 August 2018 / Revised: 7 September 2018 / Accepted: 8 September 2018 / Published: 11 September 2018
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Abstract

The neural network approach is proposed for studying very-low- and low-frequency (VLF and LF) subionospheric radio wave variations in the time vicinities of magnetic storms and earthquakes, with the purpose of recognizing anomalies of different types. We also examined the days with quiet geomagnetic conditions in the absence of seismic activity, in order to distinguish between the disturbed signals and the quiet ones. To this end, we trained the neural network (NN) on the examples of the representative database. The database included both the VLF/LF data that was measured during four-year monitoring at the station in Petropavlovsk-Kamchatsky, and the parameters of seismicity in the Kuril-Kamchatka and Japan regions. It was shown that the neural network can distinguish between the disturbed and undisturbed signals. Furthermore, the prognostic behavior of the VLF/LF variations indicative of magnetic and seismic activity has a different appearance in the time vicinity of the earthquakes and magnetic storms. View Full-Text
Keywords: earthquake precursors; magnetic storm; neural network; low frequency electromagnetic signals earthquake precursors; magnetic storm; neural network; low frequency electromagnetic signals
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Popova, I.; Rozhnoi, A.; Solovieva, M.; Chebrov, D.; Hayakawa, M. The Behavior of VLF/LF Variations Associated with Geomagnetic Activity, Earthquakes, and the Quiet Condition Using a Neural Network Approach. Entropy 2018, 20, 691.

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