Review of Application Research of Expert System and Neural Network in Credit Risk Evaluation

DOI

10.2991/mse-17.2017.57How to use a DOI?

Keywords

credit risk; credit risk evaluation; expert system; neural network; artificial intelligence

Abstract

Theoretical and empirical research on. credit risk evaluation plays an important role for enterprises in reducing transaction costs, enhancing competition ability and creating a good competition environment. At present, in view of the application of expert system and neural network in artificial intelligence method in enterprise credit risk evaluation, research abroad mainly focuses on the innovative application of expert system and neural network; and the domestic research mainly focuses on the advantages and disadvantages, the accuracy and the feasibility of expert system and neural network. In this paper, the research status of expert system and neural network at home and abroad is discussed in detail so that the development of artificial intelligence theory and practice is promoted.

Copyright

© 2017, 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  - Mu Zhang
AU  - Li Dong
PY  - 2017/10
DA  - 2017/10
TI  - Review of Application Research of Expert System and Neural Network in Credit Risk Evaluation
BT  - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
PB  - Atlantis Press
SP  - 249
EP  - 252
SN  - 2352-5428
UR  - https://doi.org/10.2991/mse-17.2017.57
DO  - 10.2991/mse-17.2017.57
ID  - Zhang2017/10
ER  -