TY - GEN
T1 - The use of data mining methods for the psychoacoustic assessment of noise in urban environment
AU - Paszkowski, Waldemar
AU - Loska, Andrzej
N1 - Publisher Copyright:
© SGEM2017 All Right Reserved.
PY - 2017
Y1 - 2017
N2 - In studies on the assessment of the impact of environmental noise sources, depending on the objective set, there are used various supporting models and technologies. In the article, there was carried out the analysis of the selection of physical and psychoacoustic variables caused by the noise sources. They were determined the basic psychoacoustic measures of sound quality for registered acoustic signals in urban environment. The results were compared with the results obtained in the experiment. There was carried out the analysis of selection of input variables for the development of the model of the psychoacoustic assessment of noise, with the use of data mining methods, ie.: Principal Component Analysis and regression tree. The obtained results of the use of data maining methods were interpreted in the context of the results from the laboratory experiment done.
AB - In studies on the assessment of the impact of environmental noise sources, depending on the objective set, there are used various supporting models and technologies. In the article, there was carried out the analysis of the selection of physical and psychoacoustic variables caused by the noise sources. They were determined the basic psychoacoustic measures of sound quality for registered acoustic signals in urban environment. The results were compared with the results obtained in the experiment. There was carried out the analysis of selection of input variables for the development of the model of the psychoacoustic assessment of noise, with the use of data mining methods, ie.: Principal Component Analysis and regression tree. The obtained results of the use of data maining methods were interpreted in the context of the results from the laboratory experiment done.
KW - Data mining
KW - Psychoacoustic noise assessment
KW - Urban environment
UR - https://www.scopus.com/pages/publications/85032330413
U2 - 10.5593/sgem2017/52/S20.135
DO - 10.5593/sgem2017/52/S20.135
M3 - Conference contribution
AN - SCOPUS:85032330413
SN - 9786197408263
T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SP - 1059
EP - 1066
BT - Education and Accreditation in Geosciences; Environmental Legislation, Multilateral Relations And Funding Opportunities
PB - International Multidisciplinary Scientific Geoconference
T2 - 17th International Multidisciplinary Scientific Geoconference, SGEM 2017
Y2 - 29 June 2017 through 5 July 2017
ER -