Comparison of classical statistical methods and artificial neural network in traffic noise prediction-Reference-Cited by-同舟云学术

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Comparison of classical statistical methods and artificial neural network in traffic noise prediction

Published:2014-11 Issue: Volume:49 Page:24-30
ISSN:0195-9255
Container-title:Environmental Impact Assessment Review
language:en
Short-container-title:Environmental Impact Assessment Review

Author:

Nedic Vladimir,Despotovic Danijela,Cvetanovic Slobodan,Despotovic Milan,Babic Sasa

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Ecology,Geography, Planning and Development

Reference22 articles.

1. Noise annoyance — a modifier of the association between noise level and cardiovascular health?;Babisch;Sci Total Environ,2013

2. Optimal division of data for neural network models in water resources applications;Bowden;Water Resour Res,2002

3. Parameters of well-being and subjective health and their relationship with residential traffic noise exposure — a representative evaluation in Switzerland;Brink;Environ Int,2011

4. Noise-induced hearing loss in workers exposed to urban stressors;Caciari;Sci Total Environ,2013

5. The statistical modeling of road traffic noise in an urban setting;Calixto;Cities,2003

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