A machine learning approach for traffic-noise annoyance assessment-Reference-Cited by-同舟云学术

A machine learning approach for traffic-noise annoyance assessment

Published:2019-12 Issue: Volume:156 Page:262-270
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Bravo-Moncayo Luis,Lucio-Naranjo José,Chávez Miguel,Pavón-García Ignacio,Garzón Christiam

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference34 articles.

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4. Road-traffic noise and factors influencing noise annoyance in an urban population;Jakovljevic;Environ Int,2009

5. Developing a multivariate model for predicting the noise annoyance responses due to combined water sound and road traffic noise exposure;Leung;Appl Acoust,2017

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