An artificial neural network for analysis of ionograms obtained by ionosonde at the Ukrainian Antarctic Akademik Vernadsky station

• Published in: Ukrainian Antarctic Journal
• Main Authors: O. Bogomaz, M. Shulha, D. Kotov, A. Koloskov, A. Zalizovski
• Format: Article in Journal/Newspaper
• Language: English; Ukrainian
• Published: State Institution National Antarctic Scientific Center 2020
• Subjects: critical frequency; deep learning; electron density; ionosphere; pattern recognition; Meteorology. Climatology; QC851-999; Geophysics. Cosmic physics; QC801-809; Akademik Vernadsky Station; Antarctic; Vernadsky Station; Antarc*
• Online Access: https://doi.org/10.33275/1727-7485.2.2020.653; https://doaj.org/article/e5b1784300b144ffb45919fc4a105263

The article presents the developed artificial neural network for F2 ionosphere layer traces scaling on ionograms obtained using the IPS-42 ionosonde installed at the Ukrainian Antarctic Akademik Vernadsky station. The parameters of the IPS-42 ionosonde and the features of the data obtained with it,...