机译:ROTI预测最优机器学习方法的研究
School of Environment Science and Spatial Information China University of Mining and Technology Xuzhou 221116 China;
Aerospace Information Research Institute Chinese Academy of Sciences Beijing 10094 China;
School of Environment Science and Spatial Information China University of Mining and Technology Xuzhou 221116 ChinaSatellite Positioning for Atmosphere Climate and Environment(SPACE)Research Centre Royal Melbourne Institute of Technology(RMIT)University Melbourne VIC 3001 Australia;
Aerospace Information Research Institute Chinese Academy of Sciences Beijing 10094 China;
Satellite Positioning for Atmosphere Climate and Environment(SPACE)Research Centre Royal Melbourne Institute of Technology(RMIT)University Melbourne VIC 3001 Australia;
Centrum Wiskunde&Informatica(CWI) P.O.Box 940791090 GB Amsterdam NETHERLANDS;
Satellite Positioning for Atmosphere Climate and Environment(SPACE)Research Centre Royal Melbourne Institute of Technology(RMIT)University Melbourne VIC 3001 Australia;
machine learning; ROTI prediction; ionospheric scintillation; high-latitude region;