Estimation of the state of the cosmic ray flux based on neural networks
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 evaluate...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/56/e3sconf_strpep2020_01007.pdf |
| _version_ | 1818426267425308672 |
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| author | Mandrikova Bogdana Dmitriev Alexei |
| author_facet | Mandrikova Bogdana Dmitriev Alexei |
| author_sort | Mandrikova Bogdana |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T14:27:07Z |
| format | Article |
| id | doaj.art-e8182fd6868f4466beafc0a963ccbc8e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T14:27:07Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e8182fd6868f4466beafc0a963ccbc8e2022-12-21T22:57:55ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011960100710.1051/e3sconf/202019601007e3sconf_strpep2020_01007Estimation of the state of the cosmic ray flux based on neural networksMandrikova Bogdana0Dmitriev Alexei1Institute of Cosmophysical Research and Radio Wave Propagation FEB RASDSSE, National Central UniversityAn 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/56/e3sconf_strpep2020_01007.pdf |
| spellingShingle | Mandrikova Bogdana Dmitriev Alexei Estimation of the state of the cosmic ray flux based on neural networks E3S Web of Conferences |
| title | Estimation of the state of the cosmic ray flux based on neural networks |
| title_full | Estimation of the state of the cosmic ray flux based on neural networks |
| title_fullStr | Estimation of the state of the cosmic ray flux based on neural networks |
| title_full_unstemmed | Estimation of the state of the cosmic ray flux based on neural networks |
| title_short | Estimation of the state of the cosmic ray flux based on neural networks |
| title_sort | estimation of the state of the cosmic ray flux based on neural networks |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/56/e3sconf_strpep2020_01007.pdf |
| work_keys_str_mv | AT mandrikovabogdana estimationofthestateofthecosmicrayfluxbasedonneuralnetworks AT dmitrievalexei estimationofthestateofthecosmicrayfluxbasedonneuralnetworks |