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Acta astronautica, v.161, 2019년, pp.44 - 56
Peng, Hao (Corresponding author.) , Bai, Xiaoli
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Abstract A machine learning (ML) approach has been recently proposed to improve the orbit prediction accuracy of resident space objects (RSOs) through learning from historical data. Previous results have shown that the ML approach can successfully improve the point estimation accuracy. This paper e...
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