- Tytuł:
- Cascade Feed Forward Neural Network-based Model for Air Pollutants Evaluation of Single Monitoring Stations in Urban Areas
- Autorzy:
-
Capizzi, G.
Lo Sciuto, G.
Monforte, P.
Napoli, C. - Powiązania:
- https://bibliotekanauki.pl/articles/226736.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
neural networks
Synthetic Aperture Radar (SAR)
mahalanobis distance - Opis:
- In this paper, air pollutants concentrations for NO2, NO, NOx and PM10 in a single monitoring station are predicted using the data coming from other different monitoring stations located nearby. A cascade feed forward neural network based modeling is proposed. The main aim is to provide a methodology leading to the introduction of virtual monitoring station points consistent with the actual stations located in the city of Catania in Italy.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2015, 61, 4; 327-332
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł