Method for detecting anomalies in geomagnetic field variations based on artificial neural network
The paper proposes a method for anomaly detection in geomagnetic data based on the classical autoencoder architecture. 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 monitori...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Дальневосточного отделения Российской академии наук, Южно-Сахалинск, Федеральное государственное бюджетное учреждение науки Институт морской геологии и геофизики
2024-12-01
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| Series: | Геосистемы переходных зон |
| Subjects: | |
| Online Access: | http://journal.imgg.ru/web/full/f2024-4-6.pdf |
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