%0 Figure %A S. G. de Mattos Neto, Paulo %A D. C. Cavalcanti, George %A Madeiro, Francisco %A A. E. Ferreira, Tiago %D 2015 %T Test architecture of the proposed system. %U https://plos.figshare.com/articles/figure/_Test_architecture_of_the_proposed_system_/1558899 %R 10.1371/journal.pone.0138507.g003 %2 https://plos.figshare.com/ndownloader/files/2291876 %K ga %K Artificial neural networks %K approach %K correction %K PM 10 concentration series %K High PM concentration %K hs %K residuals modeling %K fitness function %K ann %K PM forecasters %K forecasting method %K performance %K Experimental results show %K PM time series %X

Test architecture of the proposed system.

%I PLOS ONE