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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
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| Volume 3 - Issue 1 |
| Published: October 2015 |
| Authors: M.M. Mohie El-Din, N. I. Ghali, A. Sadek, A. A. Abouzeid |
10.5120/cae2015651868
|
M.M. Mohie El-Din, N. I. Ghali, A. Sadek, A. A. Abouzeid . A study on Air Passenger demand Forecasting from Egypt to Suadi Arabia. Communications on Applied Electronics. 3, 1 (October 2015), 1-5. DOI=10.5120/cae2015651868
@article{ 10.5120/cae2015651868,
author = { M.M. Mohie El-Din,N. I. Ghali,A. Sadek,A. A. Abouzeid },
title = { A study on Air Passenger demand Forecasting from Egypt to Suadi Arabia },
journal = { Communications on Applied Electronics },
year = { 2015 },
volume = { 3 },
number = { 1 },
pages = { 1-5 },
doi = { 10.5120/cae2015651868 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A M.M. Mohie El-Din
%A N. I. Ghali
%A A. Sadek
%A A. A. Abouzeid
%T A study on Air Passenger demand Forecasting from Egypt to Suadi Arabia%T
%J Communications on Applied Electronics
%V 3
%N 1
%P 1-5
%R 10.5120/cae2015651868
%I Foundation of Computer Science (FCS), NY, USA
This study employed the back-propagation neural network to forecast the air passenger demand from Egypt to Saudi Arabia. The factors that influence air passenger are identified, evaluated and analyzed by applying the back-propagation neural network on the annual data 2000 to 2010 by using visual gene developer package.