Application of Artificial Neural Network to Predict the use of Runway at Juanda International Airport

Artificial neural network approaches are useful to solve many complicated problems. It solves a number of problems in various areas such as engineering, medicine, business, manufacturing, etc. This paper presents an application of artificial neural network to predict a runway capacity at Juanda Inte...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 209; no. 1; pp. 12107 - 12114
Main Authors Putra, J C P, Safrilah
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2017
Subjects
Airport expansion
Airports
Artificial neural networks
Back propagation
Back propagation networks
Computer architecture
Multilayers
Neural networks
Runways
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Summary:Artificial neural network approaches are useful to solve many complicated problems. It solves a number of problems in various areas such as engineering, medicine, business, manufacturing, etc. This paper presents an application of artificial neural network to predict a runway capacity at Juanda International Airport. An artificial neural network model of backpropagation and multi-layer perceptron is adopted to this research to learning process of runway capacity at Juanda International Airport. The results indicate that the training data is successfully recognizing the certain pattern of runway use at Juanda International Airport. Whereas, testing data indicate vice versa. Finally, it can be concluded that the approach of uniformity data and network architecture is the critical part to determine the accuracy of prediction results.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/209/1/012107