E3S Web Conf.
Volume 196, 2020XI International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|Number of page(s)||9|
|Section||Atmosphere Physics and Solar-Terrestrial Relations|
|Published online||16 October 2020|
Estimation of the state of the cosmic ray flux based on neural networks
1 Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, 684034 Mirnaya st, 7, Paratunka, Kamchatksiy kray, Russia
2 DSSE, National Central University, 32001 Taoyaun, Taiwan
* Corresponding author: firstname.lastname@example.org
An automated method is proposed for assessing the state of the cosmic ray flux on the base of neural networks. The method allows using the data of neutron monitors to determine the state of the cosmic ray flux in accordance with the a priori specified states of the neural network. The paper evaluates the method and presents the results of its application during periods of increased solar activity and magnetic storms. The possibility of realizing the method on-line is demonstrated.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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