Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model

In the paper, the flight time deviation of Lithuania airports has been analyzed. The supervised machine learning model has been implemented to predict the interval of time delay deviation of new flights. The analysis has been made using seven algorithms: probabilistic neural network, multilayer perc...

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Detalles Bibliográficos
Autores principales: Stefanovič, Pavel, Štrimaitis, Rokas, Kurasova, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609144/
https://www.ncbi.nlm.nih.gov/pubmed/33178261
http://dx.doi.org/10.1155/2020/8878681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609144/
https://www.ncbi.nlm.nih.gov/pubmed/33178261
http://dx.doi.org/10.1155/2020/8878681

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