Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Forecasting Model of Supply Chain Management Based on Neural Network

Authors
HongJing Liu
Corresponding Author
HongJing Liu
Available Online April 2015.
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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Volume Title
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/amcce-15.2015.32
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.32How to use a DOI?
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/).

Cite this article

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  -