Open AccessResearch on BP neural network in enterprise credit rating management based on artificial intelligence era
Author(s) -
Jingyi Ye,
Han Xiao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012165
Subject(s) - artificial neural network , credit rating , field (mathematics) , credit risk , business , digital firm , risk management , enterprise risk management , enterprise management , artificial intelligence , computer science , knowledge management , risk analysis (engineering) , process management , actuarial science , finance , enterprise information system , mathematics , pure mathematics
BP neural network has been gradually applied in the field of economic management. It has many advantages that traditional methods can’t achieve, but there are also disputes and problems. In this paper, the BP neural network model is established to analyze the credit risk indicators of listed companies, and the learning system of enterprise credit rating management is established to predict the future credit risk, so as to achieve the purpose of enterprise risk management, and the corresponding conclusions and suggestions are given to promote the development and innovation of enterprise management and artificial neural network.