FORECASTING INTERNATIONAL AIRLINE PASSENGER TRAFFIC USING NEURAL NETWORKS

Kyungdoo “Ted” Nam · Thomas Schaefer

80 citations0/0 files storedLogistics and transportation review

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Forecasting Techniques and Applications Neural Networks and Applications Aviation Industry Analysis and Trends

Abstract

This paper examines the potential of using neural networks (NNs) in lieu of traditional statistical techniques in forecasting international airline passenger traffic. Neural networks appear to enhance forecasting accuracy and go beyond the capabilities of conventional statistical analysis. Therefore, airline decision makers should benefit from using neural networks in forecasting airline passenger loads.

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