Applying neural networks and geographical information systems to airport noise evaluation.

Date
2005-01-01
Authors
Yang, Yingjie
Gillingwater, David
Hinde, Chris J.
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
Springer Verlag
Peer reviewed
Abstract
Description
The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Traditional laboratory models are not sufficient to assess the exposure to noisy flights of specific local communities in proximity to an airport. An integration of neural networks, fuzzy sets and geographical information systems is given to provide an alternative method. This has laid a solid foundation for neural networks and fuzzy sets to be applied to the environmental evaluation of airport operations where huge uncertainties and complex interactions exist. This approach could be applied to other environmental monitoring fields such as harbours.
Keywords
RAE 2008, UoA 23 Computer Science and Informatics, artificial intelligence, fuzzy neural nets, modeling, neural network, proximity, geographic information system
Citation
Yang, Y., Gillingwater, D. and Hinde, C. (2005) Applying neural networks and geographical information systems to airport noise evaluation. Lecture Notes in Computer Science, 3498, pp. 998-1003.
Research Institute
Institute of Artificial Intelligence (IAI)