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A technique for prediction of SPEs from solar radio flux by statistical analysis, ANN and GA

  • Kyong Nam Kim
  • Sun Ae Sin
  • Kum Ae Song
  • Jin Hyok Kong
Original Article

Abstract

Solar Radio Flux (SRF) is the significant index in easily evaluating everyday solar activities. From the statistical analysis of SRF at 2800 MHz, 1415 MHz and 610 MHz from 1976 to 1994, and only 111 Solar Proton Events (SPEs) occurring in the same period, we have given the statistical relation between them. In fact, there occurred a total of 131 SPEs in the same period, but we dealt with only 111 SPEs of them, because of lack of SRF data in SGD (2800 MHz, 1415 MHz and 610 MHz). We also discussed the possible parameters of SRF at 2800 MHz, 1415 MHz and 610 MHz for prediction of SPEs by statistical analysis, Artificial Neural Network (ANN) and Genetic Algorithm (GA) using MATLAB. In this study, we used some parameters: the daily total SRF, the overall rate of increase of SRF and SPEs.

Keywords

Daily total SRF Relative overall rate of increase of SRF ANN GA SPE 

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Kyong Nam Kim
    • 1
  • Sun Ae Sin
    • 1
  • Kum Ae Song
    • 2
  • Jin Hyok Kong
    • 1
  1. 1.Pyongyang Astronomical ObservatoryState Academy of Sciences of DPRKPyongyangDemocratic People’s Republic of Korea
  2. 2.Library of SciencesState Academy of Sciences of DPRKPyongyangDemocratic People’s Republic of Korea

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