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.
|Titolo:||Cascade feed forward neural network-based model for air pollutants evaluation of single monitoring stations in urban areas|
|Autori interni:||CAPIZZI, GIACOMO|
LO SCIUTO, GRAZIA
|Data di pubblicazione:||2015|
|Rivista:||INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS|
|Appare nelle tipologie:||1.1 Articolo in rivista|