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Airport noise simulation using neural networks

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conference contribution
posted on 27.01.2009, 11:11 by Yingjie Yang, Chris J. Hinde, David Gillingwater
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.

History

School

  • Science

Department

  • Computer Science

Citation

YANG, Y., HINDE, C.J. and GILLINGWATER, D., 2008. Airport noise simulation using neural networks. IEEE International Joint Conference on Neural Networks. IJCNN 2008. (IEEE World Congress on Computational Intelligence), Hong Kong, 1-8 June, pp. 1917-1923

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2008

Notes

This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424418213

ISSN

1098-7576

Language

en

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