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IJSTR >> Volume 8 - Issue 10, October 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Air Traffic Forecasting Using Artificial Neural Networks

[Full Text]

 

AUTHOR(S)

Manohar Dingari, D. Mallikarjuna Reddy, V. Sumalatha

 

KEYWORDS

Activation function, Air traffic, Artificial Neural Networks, Back Propagation, Forecasting, Multi-Layer Perceptron, sigmoid function.

 

ABSTRACT

In recent years civil aviation transportation has developed rapidly in India. For any air carrier it is important to know the future demand of air passengers (air traffic) to provide proper air space resources. In this paper we focused on forecasting the air passengers traveling by Air India domestic flights by using Artificial Neural Networks (ANN). For this the data has been considered as the number of passengers traveled monthly during January 2012 to December 2018 by Air India domestic flights. Artificial Neural Network models have found many applications in classification and prediction of time series. Multi-Layer Perceptron (MLP) architecture is used in this study with feed forwarded back propagation algorithm. Sigmoid function is used as activation function.

 

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