Test architecture of the proposed system.
Paulo S. G. de Mattos Neto
George D. C. Cavalcanti
Francisco Madeiro
Tiago A. E. Ferreira
10.1371/journal.pone.0138507.g003
https://plos.figshare.com/articles/figure/_Test_architecture_of_the_proposed_system_/1558899
<p>Test architecture of the proposed system.</p>
2015-09-28 03:21:04
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Artificial neural networks
approach
correction
PM 10 concentration series
High PM concentration
hs
residuals modeling
fitness function
ann
PM forecasters
forecasting method
performance
Experimental results show
PM time series