On the generalization properties of deep learning for aircraft fuel flow estimation models

Author:

Jarry GabrielORCID,Dalmau RamonORCID,Very Philippe,Sun JunziORCID

Publisher

Elsevier BV

Reference49 articles.

1. Modeling the fuel flow-rate of transport aircraft during flight phases using genetic algorithm-optimized neural networks;Baklacioglu;Aerosp. Sci. Technol.,2016

2. Predicting the fuel flow rate of commercial aircraft via multilayer perceptron, radial basis function and ANFIS artificial neural networks;Baklacioglu;Aeronaut. J.,2021

3. Comparison of allocation procedures in a stratified random sampling of skewed populations under different distributions and sample sizes;Barnabas;Int. J. Innov. Sci. Eng. Technol.,2014

4. Modeling of aircraft fuel consumption using machine learning algorithms;Baumann;CEAS Aeronaut. J.,2020

5. Chati, Y.S., Balakrishnan, H., 2016. Statistical modeling of aircraft engine fuel flow rate. In: 30th Congress of the International Council of the Aeronautical Science.

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