Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting
Revue:
Transportation Research Part E: Logistics and Transportation Review
ISSN: 1366-5545
Année de publication: 2014
Volumen: 67
Pages: 1-13
Type: Article