Estimation of the state of the cosmic ray flux based on neural networks

Bogdana Mandrikova; Alexei Dmitriev

doi:10.1051/e3sconf/202019601007

Estimation of the state of the cosmic ray flux based on neural networks

Bogdana Mandrikova, Alexei Dmitriev

太空科學與工程學系

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

摘要

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.

原文	???core.languages.en_GB???
文章編號	01007
期刊	E3S Web of Conferences
卷	196
DOIs	https://doi.org/10.1051/e3sconf/202019601007
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

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10.1051/e3sconf/202019601007

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Estimation of the state of the cosmic ray flux based on neural networks

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