Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca

Quiñones Huatangari,Lenin; Ocaña Zuñiga,Candy

Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca

dc.contributor.author	Quiñones Huatangari,Lenin	es_ES
dc.contributor.author	Ocaña Zuñiga,Candy	es_ES
dc.date.accessioned	2024-04-01T00:15:01Z
dc.date.available	2024-04-01T00:15:01Z
dc.date.issued	2024-03-31
dc.description.abstract	Jaen is a city in constant urban growth which generates an increase in vehicular traffic and active noise pollution. The research presents the development of an artificial neural network (ANN) to estimate the noise produced by vehicular traffic in the urban area of the city. Consequently, information was collected from two investigations coded as T1 and T2, for which a matrix of 10 variables was elaborated with 210 and 273 data respectively. Random random sampling was performed to divide the data matrix into 80% (training) and 20% (validation). Weka software and the multi-layer perceptron (MLP) training algorithm were used to model the ANN. An ANN for T1 with 6-19-1 architecture and an ANN for T2 with 6-15-1 architecture were obtained. The performance of the ANNs was evaluated using the correlation coefficient (R), coefficient of determination (R2) and root mean square error (RMSE). The results show that the MLP networks are able to estimate the sound pressure level with values of R=0.9927, R2=0.9854 and RMSE=0.7313 for T1, R=0.9989, R2=0.9978, and RMSE=0.1515 for T2.	es_ES
dc.format	application/pdf	es_ES
dc.identifier.doi	https://doi.org/10.11591/eei.v12i3.4633	es_ES
dc.identifier.uri	http://repositorio.unj.edu.pe/handle/UNJ/641
dc.language.iso	eng	eng
dc.publisher	Universidad Nacional de Jaén	es_ES
dc.publisher.country	ID	es_ES
dc.relation	Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca	es_ES
dc.relation.ispartof	Bulletin of Electrical Engineering and Informatics (BEEI)	es_ES
dc.relation.ispartof	Bulletin of Electrical Engineering and Informatics (BEEI)	es_ES
dc.relation.ispartof	Bulletin of Electrical Engineering and Informatics (BEEI)	es_ES
dc.relation.ispartof	Bulletin of Electrical Engineering and Informatics (BEEI)	es_ES
dc.relation.uri	https://doi.org/10.11591/eei.v12i3.4633	es_ES
dc.rights	info:eu-repo/semantics/openAccess	es_ES
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/	es_ES
dc.source	Universidad Nacional de Jaén\|\|Repositorio Institucional – UNJ	es_ES
dc.subject	artificial intelligence	es_ES
dc.subject	expert system	es_ES
dc.subject	information technology	es_ES
dc.subject	noise pollution	es_ES
dc.subject	urban traffic	es_ES
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#1.01.02	es_ES
dc.title	Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.type.version	info:eu-repo/semantics/publishedVersion	es_ES
renati.author.dni	42821048
renati.author.dni	44798819