Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting

Transportation Research Part E: Logistics and Transportation Review

Volumn 67, Issue , 2014, Pages 1-13

  Ruiz Aguilar, J J ^a   Turias, I J ^a   Jimenez Come M J ^a  

^a UNIVERSITY OF CÁDIZ   (Spain)

Author keywords

Artificial neural networks; Hybrid models; Inspection forecasting; SARIMA

Indexed keywords

DECISION MAKING; INSPECTION; NEURAL NETWORKS;

AUTO-REGRESSIVE; HYBRID APPROACH; HYBRID MODEL; HYBRIDISATION; INSPECTION FORECASTING; INSPECTION TIME; MOVING AVERAGES; SARIMA; TIME SERIES FORECASTING; TWO-STEP PROCEDURE;

FORECASTING;

ARTIFICIAL NEURAL NETWORK; BORDER REGION; FORECASTING METHOD; NUMERICAL MODEL; PORT; TIME SERIES ANALYSIS; TRANSPORTATION PLANNING;

EUROPE;

EID: 84899860927     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2014.03.009     Document Type: Article

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