Forecasting Model of Supply Chain Management Based on Neural Network

DOI

10.2991/amcce-15.2015.32How to use a DOI?

Keywords

Neural network; Supply chain management; Application

Abstract

Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization , forecasting and decision support. Then, the BP neural network is used to forecast the demand of bicycle in a certain region, the forecasting result demonstrates that BP neural network has a better forecasting accuracy than that of traditional forecasting model.

Copyright

© 2015, 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  - HongJing Liu
PY  - 2015/04
DA  - 2015/04
TI  - Forecasting Model of Supply Chain Management Based on Neural Network
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 179
EP  - 183
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.32
DO  - 10.2991/amcce-15.2015.32
ID  - Liu2015/04
ER  -