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pro vyhledávání: '"Jay, W."'
This work presents a deep-learning approach to estimate atmospheric density profiles for use in planetary entry guidance problems. A long short-term memory (LSTM) neural network is trained to learn the mapping between measurements available onboard a
Externí odkaz:
http://arxiv.org/abs/2310.19684