Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting
Revista:
Transportation Research Part E: Logistics and Transportation Review
ISSN: 1366-5545
Año de publicación: 2014
Volumen: 67
Páginas: 1-13
Tipo: Artículo