Modeling environmental noise using artificial neural networks

Genaro, N, Torija Martinez, AJ ORCID: https://orcid.org/0000-0002-5915-3736, Ramos, A, Requena, I, Ruiz, DP and Zamorano, M 2009, Modeling environmental noise using artificial neural networks , in: 2009 Ninth International Conference on Intelligent Systems Design and Applications, 30 Nov.-2 Dec. 2009, Pisa, Italy.

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Abstract

Since 1972, when the World Health Organization (WHO) classified noise as a pollutant, most industrialized countries have enacted laws or local regulations that regulate noise levels. Many scientists have tried to model urban noise, but the results have not been as good as expected because of the reduced number of variables. This paper describes artificial neural networks (ANN) to model urban noise. This model was applied to data collected at different street locations in Granada, Spain. The results were compared to those obtained with mathematical models. It was found that the ANN system was able to predict noise with greater accuracy, and therefore it was an improvement on these models. Furthermore, this paper reviews literature describing other research studies that also used soft computing techniques to model urban noise.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
Publisher: IEEE
ISBN: 9781424447350
ISSN: 2164-7143
Funders: Consejeria de Innovacion, Ciencia y Economia de la Junta de Andalucia, Consejeria de Innovacion, Ciencia y Economia de la Junta de Andalucia, Spanish Government, Spanish Government
Depositing User: Dr Antonio J Torija Martinez
Date Deposited: 02 Dec 2019 15:47
Last Modified: 02 Dec 2019 16:00
URI: http://usir.salford.ac.uk/id/eprint/53236

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