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The Use of Neural Network Model in the Assessment of Annoyance of the Industrial Noise Sources

  • Waldemar Paszkowski
  • Andrzej Loska
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 637)

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 

Notes

Acknowledgements

The article includes a part of the statutory research no. 13/030/BK_17/0027 entitled: “Methods and tools of production engineering for the development of smart specialization”, carried out at the Institute of Production Engineering of the Silesian University of Technology.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Organisation and Management, Institute of Production EngineeringSilesian University of TechnologyGliwicePoland

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