Abstract
The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Aircraft noise is influenced by many complex factors and traditional laboratory models are not sufficient to assess the exposure to noisy flights of specific local communities in proximity to an airport. In this paper neural network and fuzzy set methods have been integrated with Geographical Information Systems to provide an alternative method to evaluate airport noise.
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References
Morrell, P., Lu, C.H.: Aircraft Noise Social Cost and Charge Mechanisms - A Case Study of Amsterdam Airport Schiphol. Transportation Research, Part D: Transport and Environment 5, 305–320 (2000)
Connor, T.S.: Integrated Noise Model - The Federal Aviation Administration’s Computer Program for Predicting Noise Exposure Around an Airport. In: Proceedings of the International Conference on Noise Engineering. INTER-NOISE80, pp. 127–130 (1980)
Yang, Y., Gillingwater, D., Hinde, C.: An Intelligent System for the Sustainable Development of Airports. In: Proceedings of the 9th World Conference on Transportation Research, WCTR, F5-02 (2001b)
Yang, Y., Gillingwater, D., Hinde, C., Upham, P.: A Scaled Approach to Developing a Decision Support System for Sustainable Airport Development. In: Proceedings of the UK Sustainable Cities and Aviation Network (SCAN-UK) Conference, Manchester (2001d)
Hechi-Nielson, R.: Neurocomputing. Addison-Welsley, Reading (1990)
Zadeh, L.: Fuzzy Sets. Information and Control, 8 338, 338–353 (1965)
Burrough, P.A., McDonnell, A.M.: Principles of Geographical Information Systems. Oxford University Press, Oxford (1998)
Rigol, J.P., Jarvis, C.H., Stuart, N.: Artificial Neural Networks as a Spatial Interpolation. International Journal of Geographical Information Science 15, 323–343 (2001)
Yang, Y., Rosenbaum, M.: Spatial Data Analysis with ANN: Modelling to Manage Geoenvironmental Problems Caused by Harbour Siltation. In: Proceedings of International Symposium on Spatial Data Quality (ISSDQ 1999), pp. 534–541 (1999)
Yang, Y., Rosenbaum, M.: Artificial Neural Networks Linked to GIS for Determining Sedimentology in Harbours. Journal of Petroleum Science and Engineering 29, 213–220 (2001)
Yang, Y., Rosenbaum, M.: Artificial Neural Networks Linked to GIS. In: Nikravesh, M., Aminzadeh, F., Zadeh, L.A. (eds.) Developments in Petroleum Science, 51: Soft Computing and Intelligent Data Analysis in Oil Exploration, Elsevier Science, Amsterdam (2002)
Yang, Y., Rosenbaum, M., Burton, C.: An Intelligent Database for Managing Geoenvironmental Change within Harbours. Environmental Geology 40, 1224–1231 (2001c)
Brunsdon, C., Openshaw, S.: Error Simulation in Vector GIS Using Neural Computing Methods. In: Worboys, M.F. (ed.) Innovation in GIS, Taylor & Francis, London (1994)
Fonte, C., Lodwick, W.: Areas of Fuzzy Geographical Entities. International Journal of Geographical Information Science 18, 127–150 (2004)
Rosenfeld, A.: The Diameter of a Fuzzy Set. Fuzzy Sets and Systems 13, 241–246 (1984)
Liu, S., Guo, T., Dang, Y.: Grey System Theory and Its Application. The Science Press of China, Beijing (2000)
Yang, Y., Hinde, C., Gillingwater, D.: A New Method to Evaluate a Trained Artificial Neural Network. In: Proceedings of the International Joint Conference on Neural Networks 2001 (IJCNN 2001), pp. 2620–2625 (2001a)
Yang, Y., Hinde, C., Gillingwater, D.: A New Method in Explaining Neural Network Reasoning. In: Proceedings of the International Joint Conference on Neural Networks 2003 (IJCNN 2003), pp. 3256–3260 (2003)
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Yang, Y., Gillingwater, D., Hinde, C. (2005). Applying Neural Networks and Geographical Information Systems to Airport Noise Evaluation. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_158
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DOI: https://doi.org/10.1007/11427469_158
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
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