Air passenger demand forecast through the use of Artificial Neural Network algorithms
<p>Airport planning depends to a large extent on the levels of activity that are anticipated. To plan the facilities and infrastructures of an airport system and to be able to satisfy future needs, it is essential to predict the level and distribution of demand. This document presents a short- and m...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Embry-Riddle Aeronautical University
2022-01-01
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| Serie: | International Journal of Aviation, Aeronautics, and Aerospace |
| Soggetti: | |
| Accesso online: | https://commons.erau.edu/ijaaa/vol9/iss4/2 |
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