Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities

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Main Authors: Torija, Antonio J., Ruiz, Diego P., Ramos-Ridao, Ángel
Format: Electronic Book Chapter
Language:English
Published: IntechOpen 2011
Subjects:
Online Access:https://www.intechopen.com/chapters/14920
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author Torija, Antonio J.
Ruiz, Diego P.
Ramos-Ridao, Ángel
author_facet Torija, Antonio J.
Ruiz, Diego P.
Ramos-Ridao, Ángel
author_sort Torija, Antonio J.
collection InTech Open eBooks
description None
doi_str_mv 10.5772/15476
first_indexed 2025-08-04T22:40:41Z
format Electronic
Book Chapter
fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-14920</identifier><datestamp>2011-04-11</datestamp> <dc:title>Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities</dc:title> <dc:creator>Antonio J. Torija</dc:creator> <dc:creator>Diego P. Ruiz</dc:creator> <dc:creator>Ángel Ramos-Ridao</dc:creator> <dc:subject>Physical Sciences, Engineering and Technology</dc:subject> <dc:description>None</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2011-04-11</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/14920</dc:identifier> <dc:identifier>doi:10.5772/15476</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-953-307-188-6</dc:relation> <dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/1587 ; Artificial Neural Networks - Application</dc:source> </oai_dc:dc>
id InTech-14920
institution Matheson Library
isbn 978-953-307-188-6
language English
last_indexed 2025-08-04T22:40:41Z
publishDate 2011
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spelling InTech-149202011-04-11 Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities Antonio J. Torija Diego P. Ruiz Ángel Ramos-Ridao Physical Sciences, Engineering and Technology None IntechOpen 2011-04-11 Chapter, Part Of Book https://www.intechopen.com/chapters/14920 doi:10.5772/15476 en ISBN:978-953-307-188-6 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/1587 ; Artificial Neural Networks - Application
spellingShingle Physical Sciences, Engineering and Technology
Torija, Antonio J.
Ruiz, Diego P.
Ramos-Ridao, Ángel
Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities
title Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities
title_full Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities
title_fullStr Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities
title_full_unstemmed Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities
title_short Developing an Artificial Neural Network for Modeling and Prediction of Temporal Structure and Spectral Composition of Environmental Noise in Cities
title_sort developing an artificial neural network for modeling and prediction of temporal structure and spectral composition of environmental noise in cities
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/14920
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AT ruizdiegop developinganartificialneuralnetworkformodelingandpredictionoftemporalstructureandspectralcompositionofenvironmentalnoiseincities
AT ramosridaoangel developinganartificialneuralnetworkformodelingandpredictionoftemporalstructureandspectralcompositionofenvironmentalnoiseincities