Air quality prediction using optimal neural networks with stochastic variables

Author:

Russo Ana,Raischel Frank,Lind Pedro G.

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference46 articles.

1. Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area;Agirre-Basurko;Environmental Modelling & Software,2006

2. Reconstruction of complex dynamical systems affected by strong measurement noise;Boettcher;Physical Review Letters,2006

3. Evaluating strong measurement noise in data series with simulated annealing method;Carvalho;Journal of Physics,2011

4. A comparison of nonlinear regression and neural network models for ground-level ozone forecasting;Cobourn;Journal of the Air & Waste Management Association,2000

5. The impact of weather and atmospheric circulation on O3 and PM10 levels at a rural mid-latitude site;Demuzere;Atmospheric Chemistry and Physics,2009

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