The use of neural network model in the assessment of annoyance of the industrial noise sources

Waldemar Paszkowski; Andrzej Loska

doi:10.1007/978-3-319-64465-3_41

The use of neural network model in the assessment of annoyance of the industrial noise sources

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

In this article, there was made an attempt to use artificial intelligence methods in the assessment of industrial noise annoyance. There was discussed the research carried out under laboratory conditions and with using the calculation formulas. The results of the use of the neural network model, for the selected variables are more satisfactory, in the context of the methods used. One of the advantages of the presented approach is the possibility of predicting the assessment of noise annoyance for different values against input parameters.

Original language	English
Title of host publication	Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Editors	Anna Burduk, Dariusz Mazurkiewicz
Publisher	Springer Verlag
Pages	428-439
Number of pages	12
ISBN (Print)	9783319644646
DOIs	https://doi.org/10.1007/978-3-319-64465-3_41
Publication status	Published - 2018
Event	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 - Wroclaw, Poland Duration: 28 Sept 2017 → 29 Sept 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	637
ISSN (Print)	2194-5357

Conference

Conference	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Country/Territory	Poland
City	Wroclaw
Period	28/09/17 → 29/09/17

Keywords

Industrial noise annoyance
Neural network model
Psychoacoustic aspects
Sound quality

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-64465-3_41

Cite this

Paszkowski, W., & Loska, A. (2018). The use of neural network model in the assessment of annoyance of the industrial noise sources. In A. Burduk, & D. Mazurkiewicz (Eds.), Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 (pp. 428-439). (Advances in Intelligent Systems and Computing; Vol. 637). Springer Verlag. https://doi.org/10.1007/978-3-319-64465-3_41

Paszkowski, Waldemar ; Loska, Andrzej. / The use of neural network model in the assessment of annoyance of the industrial noise sources. Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. editor / Anna Burduk ; Dariusz Mazurkiewicz. Springer Verlag, 2018. pp. 428-439 (Advances in Intelligent Systems and Computing).

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title = "The use of neural network model in the assessment of annoyance of the industrial noise sources",

abstract = "In this article, there was made an attempt to use artificial intelligence methods in the assessment of industrial noise annoyance. There was discussed the research carried out under laboratory conditions and with using the calculation formulas. The results of the use of the neural network model, for the selected variables are more satisfactory, in the context of the methods used. One of the advantages of the presented approach is the possibility of predicting the assessment of noise annoyance for different values against input parameters.",

keywords = "Industrial noise annoyance, Neural network model, Psychoacoustic aspects, Sound quality",

author = "Waldemar Paszkowski and Andrzej Loska",

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Paszkowski, W & Loska, A 2018, The use of neural network model in the assessment of annoyance of the industrial noise sources. in A Burduk & D Mazurkiewicz (eds), Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. Advances in Intelligent Systems and Computing, vol. 637, Springer Verlag, pp. 428-439, 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017, Wroclaw, Poland, 28/09/17. https://doi.org/10.1007/978-3-319-64465-3_41

The use of neural network model in the assessment of annoyance of the industrial noise sources. / Paszkowski, Waldemar ; Loska, Andrzej.
Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. ed. / Anna Burduk; Dariusz Mazurkiewicz. Springer Verlag, 2018. p. 428-439 (Advances in Intelligent Systems and Computing; Vol. 637).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Loska, Andrzej

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PY - 2018

Y1 - 2018

N2 - In this article, there was made an attempt to use artificial intelligence methods in the assessment of industrial noise annoyance. There was discussed the research carried out under laboratory conditions and with using the calculation formulas. The results of the use of the neural network model, for the selected variables are more satisfactory, in the context of the methods used. One of the advantages of the presented approach is the possibility of predicting the assessment of noise annoyance for different values against input parameters.

AB - In this article, there was made an attempt to use artificial intelligence methods in the assessment of industrial noise annoyance. There was discussed the research carried out under laboratory conditions and with using the calculation formulas. The results of the use of the neural network model, for the selected variables are more satisfactory, in the context of the methods used. One of the advantages of the presented approach is the possibility of predicting the assessment of noise annoyance for different values against input parameters.

KW - Industrial noise annoyance

KW - Neural network model

KW - Psychoacoustic aspects

KW - Sound quality

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A2 - Burduk, Anna

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PB - Springer Verlag

T2 - 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017

Y2 - 28 September 2017 through 29 September 2017

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Paszkowski W , Loska A. The use of neural network model in the assessment of annoyance of the industrial noise sources. In Burduk A, Mazurkiewicz D, editors, Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. Springer Verlag. 2018. p. 428-439. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-64465-3_41

The use of neural network model in the assessment of annoyance of the industrial noise sources

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Keywords

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