Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Research on Financial Risk Evaluation of Railway Logistics Based on BP Neural Network Model

Authors
Mengna Li, Xiangfei Yang, Congcong Xin, Jie Zhang
Corresponding Author
Mengna Li
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.63How to use a DOI?
Keywords
Modern logistics; logistics finance; risk assessment BP neural network; risk grade.
Abstract
This paper analyzes the risk factors of developing logistics finance business in railway enterprises, identifies the risks from two aspects of external risk and internal risk, and constructs the evaluation index system of railway logistics financial risk. Based on the analysis of BP neural network structure, the training and testing of the sampling samples are carried out by using the neural network, and the risk grade of each influencing factor is obtained, which provides a basis for judging the risk prevention and control of railway logistics finance.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
DOI
https://doi.org/10.2991/mecae-18.2018.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mengna Li
AU  - Xiangfei Yang
AU  - Congcong Xin
AU  - Jie Zhang
PY  - 2018/03
DA  - 2018/03
TI  - Research on Financial Risk Evaluation of Railway Logistics Based on BP Neural Network Model
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/mecae-18.2018.63
DO  - https://doi.org/10.2991/mecae-18.2018.63
ID  - Li2018/03
ER  -