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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| 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 |