The Capacity Study of Dry Port Based on the Prediction Model of Neural Network in Jinan

DOI

10.2991/iceep-17.2017.5How to use a DOI?

Keywords

Dry Port, Neural network, Capacity study

Abstract

At present, the construction and layout of the inland dry port, the possibility and feasibility of construction are the focus of the research. The capacity of dry port in Jinan is fully analyzed on the basis of reference to the advanced operation mode and development experience of the excellent non-water port in the country and abroad. This paper first establishes the forecast indicators; Then the influence factors of the cargo turnover in Jinan were analyzed. Finally, the data of Jinan cargo was predicted using neural network model.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Xiangru Meng
AU  - Minren Feng
PY  - 2017/06
DA  - 2017/06
TI  - The Capacity Study of Dry Port Based on the Prediction Model of Neural Network in Jinan
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 26
EP  - 29
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.5
DO  - 10.2991/iceep-17.2017.5
ID  - Meng2017/06
ER  -