Forecasting demand for low cost carriers in Australia using an artificial neural network approach

Forecasting demand for low cost carriers in Australia using an artificial neural network approach

This study focuses on predicting Australia‘s low cost carrier passenger demand and revenue passenger kilometres performed (RPKs) using traditional econometric and artificial neural network (ANN) modelling methods. For model development, Australia‘s real GDP, real GDP per capita, air fares, Australia...

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Bibliographic Details
Main Authors: Panarat Srisaeng, Glenn S. Baxter, Graham Wild
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2015-06-01
Series:Aviation
Subjects:
air transport
artificial neural network (ann)
Australia
forecasting methods
low-cost carrier
Online Access:http://journals.vgtu.lt/index.php/Aviation/article/view/2568

Internet

http://journals.vgtu.lt/index.php/Aviation/article/view/2568

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