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Noise Classification of Aircrafts using Artificial Neural Networks
Technical Paper
2012-36-0620
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In this paper an algorithm for the classification of aircrafts composing the commercial fleet currently operating in the Chilean airspace is described. This classification is based on certain acoustic descriptors obtained at a specific noise monitoring point, which are used as inputs for a Feed-Forward Artificial Neural Network. As a result, determined classification groups for the evaluated aircraft models are obtained, so that aircrafts of similar size and technology belong to the same group.
Authors
Citation
Osses, A., Gomez, I., Glisser, M., Gerard, C. et al., "Noise Classification of Aircrafts using Artificial Neural Networks," SAE Technical Paper 2012-36-0620, 2012, https://doi.org/10.4271/2012-36-0620.Also In
References
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- Osses, A. Glisser, M. Guzmán, R. Gerard, C. “Comparison of methodologies for continuous noise monitoring and aircraft detection in the vicinity of airports” 18 th International Congress on Sound and Vibration Rio de Janeiro, Brazil July 10 14 2011
- Van der Heijden, J. “Recognition and quantification of aircraft noise events inside dwellings” Internoise 2001 The Hague, The Netherlands August 27 30 2001
- Beale, M. Hudson Hagan, Martin T. Demuth, Howard B. “MATLAB ® Neuronal Network Toolbox™ - User's Guide”