Estimation of Number of Flight Using Particle Swarm Optimization and Artificial Neural Network
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Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ediciones Univ Salamanca
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The number of flight (NF) is one of the key factors for the administration of the airport to evaluate the apron capacity and airline companies to fix the size of the flight. This paper aims to estimate the monthly NF by performing particle swarm optimization (PSO) and artificial neural network (ANN). Performed PSO-ANN algorithm aims to minimize the proposed evaluation criterion in the training stage. PSO-ANN based on the proposed evaluation criterion offers satisfying fitness values with respect to correlation coefficient and mean absolute percentage error in the training and testing stage.
Açıklama
Anahtar Kelimeler
artificial neural network, airport, particle swarm optimization, estimation
Kaynak
Adcaij-Advances In Distributed Computing And Artificial Intelligence Journal
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
8
Sayı
3
