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


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    Title :

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


    Contributors:


    Publication date :

    2007




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





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