Using neural networks to study the geomagnetic field evolution
study their time evolution in years. In order to find the best NN for the time predictions, we tested many different kinds of NN and different ways of their training, when the inputs and targets are long annual time series of synthetic geomagnetic field values. The found NN was use...
Main Authors: | N. Hyka, B. Duka |
---|---|
Format: | Article |
Language: | English |
Published: |
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
2008-06-01
|
Series: | Annals of Geophysics |
Subjects: | |
Online Access: | http://www.annalsofgeophysics.eu/index.php/annals/article/view/3014 |
Similar Items
-
Twenty years of geomagnetic field observations at Mario Zucchelli Station (Antarctica)
by: Lucia Santarelli, et al.
Published: (2009-06-01) -
Recovering external contribution from the monthly mean series of a given geomagnetic observatory
by: Bejo Duka, et al.
Published: (2016-07-01) -
Fractal Dimension Analysis of Earth Magnetic Field during 26 August 2018 Geomagnetic Storm
by: Anna Wawrzaszek, et al.
Published: (2022-05-01) -
Croatian geomagnetic field maps for 2008.5 epoch
by: Mario Brkić, et al.
Published: (2013-03-01) -
Geomagnetic core field models and secular variation forecasts for the 13th International Geomagnetic Reference Field (IGRF-13)
by: I. Wardinski, et al.
Published: (2020-10-01)