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
Analysis of possibility of using neural network to forecast passenger traffic flows in Russia
2007
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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Analysis of possibility of using neural network to forecast passenger traffic flows in Russia
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