Research on Credit Risk Evaluation for Small and Medium-sized Enterprises in Supply Chain Based on BP Neural Network

DOI

10.2991/iccse-15.2015.37How to use a DOI?

Keywords

Supply chain finance; BP neural network; Small and medium-sized enterprises; Credit risk assessment

Abstract

Abstract More attention to supply chain finance as a new form of financing channel is paid with the increasing highlight of the financing difficulty of small and medium-sized enterprises (SMEs). It is crucial for scientific and accurate risk assessment to control the control of the credit risk of supply chain finance. BP neural network model is used to open up a new way for credit risk assessment of SMEs based on the establishment and improvement of an index system of credit risk evaluation for SMEs. BP neural network model is a smart algorithm with self-learning and adaptive characteristics. The BP artificial neural network model was analyzed and detected in a practical case. The feasibility of the model was proved. The result is satisfactory. The model can be used to assess SMEs’ credit risk in the supply chain.

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  - Xiaoping Zhang
AU  - Chen Chen
PY  - 2015/07
DA  - 2015/07
TI  - Research on Credit Risk Evaluation for Small and Medium-sized Enterprises in Supply Chain Based on BP Neural Network
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 213
EP  - 217
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.37
DO  - 10.2991/iccse-15.2015.37
ID  - Zhang2015/07
ER  -