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A study on Air Passenger demand Forecasting from Egypt to Suadi Arabia

M.M. Mohie El-Din, N. I. Ghali, A. Sadek, A. A. Abouzeid. Published in Pattern Recognition.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: M.M. Mohie El-Din, N. I. Ghali, A. Sadek, A. A. Abouzeid
10.5120/cae2015651868

Mohie M M El-Din, N I Ghali, A Sadek and A A Abouzeid. Article: A study on Air Passenger demand Forecasting from Egypt to Suadi Arabia. Communications on Applied Electronics 3(1):1-5, October 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {M.M. Mohie El-Din and N. I. Ghali and A. Sadek and A. A. Abouzeid},
	title = {Article: 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},
	month = {October},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

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.

References

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Keywords

Airline Passenger Demand Forecasting, Artificial Neural Network