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dc.contributor.authorYang, Yingjieen
dc.contributor.authorGillingwater, Daviden
dc.contributor.authorHinde, Chris J.en
dc.date.accessioned2008-11-24T13:24:17Z
dc.date.available2008-11-24T13:24:17Z
dc.date.issued2005-01-01en
dc.identifier.citationYang, 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.
dc.identifier.urihttp://hdl.handle.net/2086/195
dc.descriptionThe 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.en
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.subjectRAE 2008
dc.subjectUoA 23 Computer Science and Informatics
dc.subjectartificial intelligence
dc.subjectfuzzy neural nets
dc.subjectmodeling
dc.subjectneural network
dc.subjectproximity
dc.subjectgeographic information system
dc.titleApplying neural networks and geographical information systems to airport noise evaluation.en
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1007/11427469_158en
dc.researchgroupCentre for Computational Intelligence
dc.researchgroupDIGITSen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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