본문 바로가기 주메뉴 바로가기
검색 검색영역닫기 검색 검색영역닫기 ENGLISH 메뉴 전체보기 메뉴 전체보기

논문

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

등록일자 :

https://doi.org/10.20910/JASE.2020.14.2.50

  • 저자Eung Sik Park,Seo Hyun Lee,Suk Hoon Lee,You Gwang Kim,김병천
  • 학술지Journal of Aerospace System Engineering (1976-6300), 14(2), 50 ~ 56
  • 등재유형비SCIE
  • 게재일자 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.

이 페이지에서 제공하는 정보에 대해 만족하십니까?