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Prediction of the Major Factors for the Analysis of the Erosion Effect on Atomic Oxygen in LEO Satellite Using a Machine Learning Method (LSTM)

http://10.20910/JASE.2020.14.2.50

  • AuthorEung Sik Park,Seo Hyun Lee,Suk Hoon Lee,You Gwang Kim,김병천
  • JournalJournal of Aerospace System Engineering (1976-6300), 14(2), 50 ~ 56
  • Enrollment type비SCIE
  • publication date 20200430
In this study, we investigated whether long short-term memory (LSTM) can be used in the future to predict F10.7 index data; the F10.7 index is a space environment factor affecting atomic oxygen erosion.