TY - JOUR
T1 - Estimation of the state of the cosmic ray flux based on neural networks
AU - Mandrikova, Bogdana
AU - Dmitriev, Alexei
N1 - Publisher Copyright:
© 2020 The Authors, published by EDP Sciences.
PY - 2020/10/16
Y1 - 2020/10/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85097180097&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202019601007
DO - 10.1051/e3sconf/202019601007
M3 - 會議論文
AN - SCOPUS:85097180097
SN - 2555-0403
VL - 196
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 01007
T2 - 11th International Conference �Solar-Terrestrial Relations and Physics of Earthquake Precursors�, STRPEP 2020
Y2 - 22 September 2020 through 25 September 2020
ER -