Evaluation Of A Multilayer Perceptron Based
Model To Forecast O3 And NO2 Hourly Levels
Author(s)
E. Agirre, G. Ibarra, A. Anta & L. J.R. Barron
Abstract
The goal of this work was to build and evaluate a multilayer perceptron (MLP)
based model to forecast O3 and NO2 hourly levels in real-time up to eight hours
ahead in the Bilbao area. Two MLP models were designed: the MLP1 model and
the MLP2 model. Current and historical hourly values of the meteorological
variables, traffic variables, O3 and NO2 concentrations and seasonal input
variables were used to determine the input variables of the models. These data
were measured in several stations in Bilbao, from 1993 to 1994. The
performance of each model was evaluated using the statistics of the Model
Validation Kit and it was compared with persistance of levels and observed
values. This work showed that the MLP2 model, a multilayer perceptron based
model with seasonal inp
Keywords
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