Estimation of Number of Flight Using Particle Swarm Optimization and Artificial Neural Network

Advances in Distributed Computing and Artificial Intelligence Journal

Engin PEKEL¹  Ebru PEKEL ÖZMEN² 

[1] Hitit University;Istanbul University-Cerrahpasa;

关键词: artificial neural network;    airport;    particle swarm optimization;    estimation;   

DOI  :  10.14201/ADCAIJ2019832733

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown