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Autor:
J. M. Ramos-Arreguin, Julio Alberto Ramirez-Montanez, David Barrero-González, Marco Antonio Aceves-Fernandez
Publikováno v:
Earth Science Informatics. 15:125-135
In this work an Elman Recurrent Neural Network (a type of Simple Recurrent Neural Network) is used for predicting the concentration of airborne pollutants O3, PM2.5 and PM10, which have a non-linear behavior, using data from Red Auto´ma´tica de Mon