Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines
Year of publication: |
2021
|
---|---|
Authors: | Khan, Waqar Ahmed ; Ma, Hoi-Lam ; Ouyang, Xu ; Mo, Daniel Y. |
Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 145.2021, p. 1-25
|
Subject: | Air traffic | Extreme learning machine | Fuel consumption | Machine learning | Trajectory prediction | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Luftverkehr | Air transport | Lernprozess | Learning process | Prognose | Forecast |
-
An explainable machine learning approach to improve take-off time predictions
Dalmau, Ramon, (2021)
-
Predicting KC-135R aircraft availability with aircraft metrics
Jordan, Johnathan A., (2022)
-
A machine learning approach to itinerary-level booking prediction in competitive airline markets
Hopman, Daniel, (2021)
- More ...
-
Qin, Yichen, (2020)
-
Wang, Zhengxu, (2020)
-
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Khan, Waqar Ahmed, (2019)
- More ...