Ditapis dengan
Hybrid approaches based on SARIMA and artificial neural networks for inspecti…
In this paper, the number of goods subject to inspection at European Border Inspections Post are predicted using a hybrid two-step procedure. A hybridization methodology based on integrating the data obtained from autoregressive integrated moving averages (SARIMA) model in the artificial neural network model (ANN) to predict the number of inspections is proposed. Several hybrid approaches are c…
- Edisi
- -
- ISBN/ISSN
- 1366-5545
- Deskripsi Fisik
- 13 p.
- Judul Seri
- Transportation Research Part E
- No. Panggil
- ATC PO LAR h
a Comparison of traditional and neural networks forecasting techniques for co…
Containerization is one of the important factors for Thailand’s economics. However, forecasts of container throughput growth and development of Bangkok Port, the significant port of Thailand, have been scant and the findings are divergence. Moreover, the existing literature emphasizes only two forecasting methods, namely time series and regression analysis. The aim of this paper is to explore…
- Edisi
- Volume 27 Number 3 December 2011 pp. 463-482
- ISBN/ISSN
- -
- Deskripsi Fisik
- 20 pages
- Judul Seri
- -
- No. Panggil
- ATC PO GOS c
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