Autor:
Diaz Robles, Luis A.
Ortega, Juan C.
Fu, Joshua S.
Reed, Gregory D.
Chow, Judith C.
Watson, John G.
Moncada Herrera, Juan A.
Air quality time series consists of complex linear and non-linear patterns and are difficult to forecast. Box-Jenkins Time Series (ARIMA) and multilinear regression (MLR) models have been applied to air quality forecasting in urban areas, but they have limited accuracy owing to their inability to...
Enlace original:
http://repositoriodigital.uct.cl/handle/10925/3877
Diaz Robles, Luis A.
,
Ortega, Juan C.
,
Fu, Joshua S.
,
Reed, Gregory D.
,
Chow, Judith C.
,
Watson, John G.
,
Moncada Herrera, Juan A.
,
[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
