Assessment of traffic noise levels in urban areas using different soft computing techniques.
J Acoust Soc Am
; 140(4): EL340, 2016 10.
Article
em En
| MEDLINE
| ID: mdl-27794285
ABSTRACT
Available traffic noise prediction models are usually based on regression analysis of experimental data, and this paper presents the application of soft computing techniques in traffic noise prediction. Two mathematical models are proposed and their predictions are compared to data collected by traffic noise monitoring in urban areas, as well as to predictions of commonly used traffic noise models. The results show that application of evolutionary algorithms and neural networks may improve process of development, as well as accuracy of traffic noise prediction.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
J Acoust Soc Am
Ano de publicação:
2016
Tipo de documento:
Article