Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Research on the Express Delivery Delay Prediction Based on Neural Network in the Background of Big Data

Authors
Bin Ye, Jia Zuo, Xin Zhao, Lin Luo
Corresponding Author
Bin Ye
Available Online April 2016.
DOI
10.2991/emim-16.2016.294How to use a DOI?
Keywords
Big data; Neural Network; Logistics; Freight; Express
Abstract

For the current express industry, the paper sets out to explore the causes of delay during transport-using the big data technology, collect appropriate freight data, and establish corresponding analysis indicators and corresponding training set, using Mat-lab and other tools for simulation and training, use the artificial neural networks, and build applications model to analyze the simulation results. It also implements the Logistics delay prediction for freight, and explain the Application Method in logistics decision-making and management system, and application prospects.

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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Volume Title
Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
10.2991/emim-16.2016.294How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Bin Ye
AU  - Jia Zuo
AU  - Xin Zhao
AU  - Lin Luo
PY  - 2016/04
DA  - 2016/04
TI  - Research on the Express Delivery Delay Prediction Based on Neural Network in the Background of Big Data
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1449
EP  - 1454
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.294
DO  - 10.2991/emim-16.2016.294
ID  - Ye2016/04
ER  -