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

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

15 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Redaktorzy	Anna Burduk, Dariusz Mazurkiewicz
Wydawca	Springer Verlag
Strony	428-439
Liczba stron	12
ISBN (drukowany)	9783319644646
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-64465-3_41
Status publikacji	Opublikowano - 2018
Wydarzenie	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 - Wroclaw, Polska Czas trwania: 28 wrz 2017 → 29 wrz 2017

Seria publikacji

Nazwa	Advances in Intelligent Systems and Computing
Tom	637
ISSN (drukowany)	2194-5357

Konferencja

Konferencja	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Kraj/Terytorium	Polska
Miejscowość	Wroclaw
Okres	28/09/17 → 29/09/17

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów
Informatyka ogólna

Uzyskaj dostęp do dokumentu

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

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Link do publikacji w Scopus

Cytowanie

Paszkowski, W., & Loska, A. (2018). The use of neural network model in the assessment of annoyance of the industrial noise sources. W A. Burduk, & D. Mazurkiewicz (Red.), Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 (str. 428-439). (Advances in Intelligent Systems and Computing; Tom 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. redaktor / Anna Burduk ; Dariusz Mazurkiewicz. Springer Verlag, 2018. str. 428-439 (Advances in Intelligent Systems and Computing).

@inproceedings{46837cb099ba484a897249ef5bf3bcfd,

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",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 ; Conference date: 28-09-2017 Through 29-09-2017",

year = "2018",

doi = "10.1007/978-3-319-64465-3\_41",

language = "English",

isbn = "9783319644646",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "428--439",

editor = "Anna Burduk and Dariusz Mazurkiewicz",

booktitle = "Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017",

address = "Germany",

}

Paszkowski, W & Loska, A 2018, The use of neural network model in the assessment of annoyance of the industrial noise sources. w A Burduk & D Mazurkiewicz (red), 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, tom 637, Springer Verlag, str. 428-439, 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017, Wroclaw, Polska, 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. red. / Anna Burduk; Dariusz Mazurkiewicz. Springer Verlag, 2018. str. 428-439 (Advances in Intelligent Systems and Computing; Tom 637).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - The use of neural network model in the assessment of annoyance of the industrial noise sources

AU - Paszkowski, Waldemar

AU - Loska, Andrzej

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

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

UR - https://www.scopus.com/pages/publications/85028588855

U2 - 10.1007/978-3-319-64465-3_41

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

M3 - Conference contribution

AN - SCOPUS:85028588855

SN - 9783319644646

T3 - Advances in Intelligent Systems and Computing

SP - 428

EP - 439

BT - Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017

A2 - Burduk, Anna

A2 - Mazurkiewicz, Dariusz

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

ER -

Paszkowski W , Loska A. The use of neural network model in the assessment of annoyance of the industrial noise sources. W Burduk A, Mazurkiewicz D, redaktorzy, 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. str. 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

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

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