Port Cargo Throughput Forecasting Based On Combination Model

DOI

10.2991/jimec-16.2016.25How to use a DOI?

Keywords

GM(1,1); Pearl Curve; exponential smoothing; combination forecasting; cargo throughput

Abstract

Port cargo throughput forecasting is an essential issue in port planning and management. Owing to that cargo throughput is affected by many factors; a single model is often difficult to get an accurate prediction. On the basis of discussing single modeling principle, the combination forecasting model based on Minimum-variance is therefore proposed for forecasting cargo throughput. By comparing the performance evaluation indexes, the results of examples imply that the combination model has higher precision than a single model.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhizhen Chen
AU  - Yan Chen
AU  - Taoying Li
PY  - 2016/10
DA  - 2016/10
TI  - Port Cargo Throughput Forecasting Based On Combination Model
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 148
EP  - 154
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.25
DO  - 10.2991/jimec-16.2016.25
ID  - Chen2016/10
ER  -