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Estimating the Number of Air Passengers using Neural Networks

Amirmahdi Mohammadighavam, Neda Rajabpour, Ali Naserasadi Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450347
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  1. Amirmahdi Mohammadighavam, Neda Rajabpour and Ali Naserasadi. Article: Estimating the Number of Air Passengers using Neural Networks. International Journal of Applied Information Systems 2(5):20-23, May 2012. BibTeX

    @article{key:article,
    	author = "Amirmahdi Mohammadighavam and Neda Rajabpour and Ali Naserasadi",
    	title = "Article: Estimating the Number of Air Passengers using Neural Networks",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 2,
    	number = 5,
    	pages = "20-23",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Nowadays, because of the relationship among various nations and growing human needs to travel around the world and daily difficulties most people face the time shortage and need to have speedy means of transportation such as planes. Therefore, the airline companies are searching for more profits and they really don't know the renting time from giant airline companies that it leads to the most benefits that's why in this essay we want to investigate the airline companies and the effects of a decision support system on them. We want to explain how a neural network and a gain chart can guide us when to charter a plane by using exact data in various situations which leads to benefits for airline companies and the most advantages for them. We intend to represent explanations about data mining and decision support systems (DSS), and neural networks.

Reference

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Keywords

Decision Support System, Dss, Neural Networks, And Data Mining