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.
|期刊||E3S Web of Conferences|
|出版狀態||已出版 - 16 10月 2020|
|事件||11th International Conference �Solar-Terrestrial Relations and Physics of Earthquake Precursors�, STRPEP 2020 - Paratunka, Russian Federation|
持續時間: 22 9月 2020 → 25 9月 2020