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

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

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...

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Bibliographic Details
Main Authors: Irina Popova, Alexandr Rozhnoi, Maria Solovieva, Danila Chebrov, Masashi Hayakawa
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
earthquake precursors
magnetic storm
neural network
low frequency electromagnetic signals
Online Access:http://www.mdpi.com/1099-4300/20/9/691

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