Physics Guided Deep Learning for Data-Driven Aircraft Fuel Consumption Modeling
This paper presents a physics-guided deep neural network framework to estimate fuel consumption of an aircraft. The framework aims to improve data-driven models’ consistency in flight regimes that are not covered by data. In particular, we guide the neural network with the equations that represent f...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
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Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/8/2/44 |