A general procedure to generate models for urban environmental-noise pollution using feature selection and machine learning methods-Reference-Cited by-同舟云学术

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A general procedure to generate models for urban environmental-noise pollution using feature selection and machine learning methods

Published:2015-02 Issue: Volume:505 Page:680-693
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Torija Antonio J.,Ruiz Diego P.

Funder

University of Malaga and the European Commission

Ministerio de Economia y Competitividad

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference54 articles.

1. Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area;Agirre-Basurko;Environ Model Software,2006

2. Subjective reactions to traffic noise with regard to some personality traits;Belojevic;Environ Int,1997

3. Urban road-traffic noise and blood pressure and heart rate in preschool children;Belojevic;Environ Int,2008

4. Feature subset selection from positive and unlabelled examples;Calvo;Pattern Recognit Lett,2009

5. Sigmoidal function classes for feedforward artificial neural networks;Chandra;Neural Process Lett,2003

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