Recurrent Neural Network for Estimation of Aerodynamic Parameters

In this paper, Recurrent Neural Network (RNN) is proposed for the estimation of aerodynamic derivatives of an aircraft. The simulated flight data for short period mode of research aircraft, Hansa is used to train the RNN. The trained RNN is then used to predict the output for a given input file. The...

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Vydané v:	International Conference on Signal Processing and Integrated Networks (Online) s. 150 - 155
Hlavní autori:	Mahajan, Hardik K., Kaur, Jaspreet, Singh, S., Banerjee, S.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 26.08.2021
Predmet:	Aerodynamics Backpropagation Delta Method Estimation Feed Forward Back Propagation Neural Network Force Parameter Estimation Recurrent Neural Network Recurrent neural networks Signal processing Signal processing algorithms
ISSN:	2688-769X
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