MODELADO DE PARTÍCULAS PM10 Y PM2.5 MEDIANTE REDES NEURONALES ARTIFICIALES SOBRE CLIMA TROPICAL DE SAN FRANCISCO DE CAMPECHE, MÉXICO

MODELADO DE PARTÍCULAS PM10 Y PM2.5 MEDIANTE REDES NEURONALES ARTIFICIALES SOBRE CLIMA TROPICAL DE SAN FRANCISCO DE CAMPECHE, MÉXICO

In this paper, a computational methodology based on Artificial Neural Networks (ANN) was developed to estimate the index of PM10 and PM2.5 concentration in air of San Francisco de Campeche city. A three layer ANN architecture was trained using an experimental database composed by days of the week, t...

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Bibliographic Details
Main Authors: Alberto Antonio Espinosa Guzmán, Oscar May Tzuc, Isaías Balam Pantí, Javier Reyes Trujeque, Ignacio Vicente Pérez Quintana, Ali Bassam
Format: Article
Language:English
Published: Sociedade Brasileira de Química
Series:Química Nova
Subjects:
atmospheric aerosols
air quality
mathematical modelling
artificial intelligence
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422017000901025&lng=en&tlng=en

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