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Analysis of possibility of using neural network to forecast passenger traffic flows in Russia

    Tatiana O. Blinova Affiliation

Abstract

At present the problem of forecasting passenger transport demand is of immense importance for air transport producers as well as for investors since investment efficiency is greatly affected by the accuracy and adequacy of the estimation performed. The aim of the present research is to analyze the possibility of using a neural network approach to forecast the expansion of the air‐transport network in Russia.


First published online: 14 Oct 2010

Keyword : air passengers traffic structure, forecasting, neural network, OD‐matrix

How to Cite
[1]
Blinova, T. 2007. Analysis of possibility of using neural network to forecast passenger traffic flows in Russia. Aviation. 11, 1 (Mar. 2007), 28-34. DOI:https://doi.org/10.3846/16487788.2007.9635952.
Published in Issue
Mar 31, 2007
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