Capability of an Elman Recurrent Neural Network for predicting the non-linear behavior of airborne pollutants

In this work an Elman Recurrent Neural Network (a type of Simple Recurrent Neural Network) is used for predicting the concentration of airborne pollutants O 3 , PM2.5 and PM10, which have a non-linear behavior, using data from Red Auto´ma´tica de Monitoreo Atmosfe´rico (RAMA), which is spreaded in t...

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