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

DOI

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.

Copyright

© 2018, 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  - 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  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.63
DO  - 10.2991/mecae-18.2018.63
ID  - Li2018/03
ER  -