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Abstract
Main goal of this paper was to describe an innovative method of noise prediction based on Genetic Algorithms. First part of the paper addresses the problem of growing noise, mainly in the context of a unified method for measuring noise. Further, Genetic Algorithms are described with regards to their fundamental features. Further a description is provided as to how Genetic Algorithms were used in the area of noise modeling. Next chapter shows results achieved with prototype software created for the purpose of research experiments. Finally, a practical technical application of this method is presented.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
APPLIED ACOUSTICS
no. 72,
pages 611 - 622,
ISSN: 0003-682X - Language:
- English
- Publication year:
- 2011
- Bibliographic description:
- Szwarc M., Czyżewski A.: New approach to railway noise modeling employing Genetic Algorithms // APPLIED ACOUSTICS. -Vol. 72, nr. Iss. 8 (2011), s.611-622
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.apacoust.2011.01.003
- Verified by:
- Gdańsk University of Technology
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