Airport noise simulation using neural networks

Airport noise simulation using neural networks

Aircraft noise is influenced by many complex factors and it is difficult to devise an accurate mathematical model to simulate it with respect to operations at an airport. This paper presents an investigation in simulating airport noise using artificial neural networks. The results show that it is po...

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Hauptverfasser: Yingjie Yang, Hinde, C., Gillingwater, D.
Format: Tagungsbericht
Sprache:eng
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Airports
Artificial neural networks
Atmospheric modeling
Distance measurement
Monitoring
Noise
Noise level
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creator Yingjie Yang
Hinde, C.
Gillingwater, D.
description Aircraft noise is influenced by many complex factors and it is difficult to devise an accurate mathematical model to simulate it with respect to operations at an airport. This paper presents an investigation in simulating airport noise using artificial neural networks. The results show that it is possible to establish a simple neural network model with monitored data for a specific airport and specific aircraft under local conditions.
doi_str_mv 10.1109/IJCNN.2008.4634060
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identifier ISSN: 2161-4393
ispartof 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1917-1923
issn 2161-4393
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2161-4407
language eng
recordid cdi_ieee_primary_4634060
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Airports
Artificial neural networks
Atmospheric modeling
Distance measurement
Monitoring
Noise
Noise level
title Airport noise simulation using neural networks
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