Box-Jenkins Time Series (ARIMA) and the multivariate linear models (MLM) have been important and popular linear tools in air quality forecasting during the past decade for urban areas. On the other hand, artificial neural networks (ANN) recently have been used successfully as a nonlinear tool in ...
Enlace original:
http://repositoriodigital.uct.cl/handle/10925/715
Ortega-Bravo, J.C.
,
Ramírez, M.
,
Fu, J.S.
,
Reed, G.D.
,
[A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile]
,
A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile
