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    Method for detecting anomalies in geomagnetic field variations based on artificial neural network by Imashev, Sanjar A.

    Published 2024-12-01
    “…The training data consisted of daily variations in the geomagnetic field on quiet days for 2020, 2021, and 2022, collected from the Ak-Suu base station of the geomagnetic monitoring network of the Research Station of the Russian Academy of Sciences in Bishkek. The neural network has five hidden layers with a total of ~3.5‧106 trainable parameters. …”
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