- Tytuł:
- Artificial Intelligence and Learning Systems Methods in Supporting Long-Term Acoustic Climate Monitoring
- Autorzy:
-
Kłaczyński, M.
Wszołek, T. - Powiązania:
- https://bibliotekanauki.pl/articles/1400078.pdf
- Data publikacji:
- 2013-06
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
43.60.Lq
07.05.Mh - Opis:
- Developing effective methods for automatic identification of noise sources is currently one of the most important tasks in long-term acoustical climate monitoring of the environment. Manual verification of recorded data, when it comes to proper determination of noise levels, is time-consuming and costly. A possible solution is to use pattern recognition techniques for acoustic signal recorded by a monitoring station. This paper presents usefulness of special directed measurement techniques, acoustic signal processing, and classification methods using artificial intelligence (the Sammon mapping) and learning systems methods (Support Vector Machines) in the recognition of corona audible noise from ultra-high voltage AC transmission lines.
- Źródło:
-
Acta Physica Polonica A; 2013, 123, 6; 1024-1028
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł