n 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.
Cascade feed forward neural network-based model for air pollutants evaluation of single monitoring stations in urban areas / Capizzi, G; Lo Sciuto, G; Monforte, P; Napoli, C. - In: INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS. - ISSN 2300-1933. - 61:4(2015), pp. 327-332. [10.1515/eletel-2015-0042]
Cascade feed forward neural network-based model for air pollutants evaluation of single monitoring stations in urban areas
Napoli C
2015
Abstract
n 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.| File | Dimensione | Formato | |
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