Open AccessANALYSIS OF POSSIBILITY OF USING NEURAL NETWORK TO FORECAST PASSENGER TRAFFIC FLOWS IN RUSSIA
Author(s) -
Tatiana O. Blinova
Publication year - 2007
Publication title -
aviation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 13
eISSN - 1822-4180
pISSN - 1648-7788
DOI - 10.3846/16487788.2007.9635952
Subject(s) - air transport , investment (military) , artificial neural network , estimation , transport engineering , transport network , computer science , operations research , passenger transport , engineering , artificial intelligence , systems engineering , politics , law , political science
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.