.NET realization of rural financial risk early warning platform based on BP neural network

2021 ◽  
Author(s):  
Kel Chang ◽  
Huang Jielu ◽  
Ke Lin
Keyword(s):  
Neural Network ◽  
Early Warning ◽  
Bp Neural Network ◽  
Financial Risk

Application of Artificial Neural Network in Corporate Financial Risk Early-Warning

2013 ◽  
Vol 336-338 ◽  
pp. 2476-2479 ◽  
Author(s):  
Hong Xiao Zhou ◽  
Sai Hua Xu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Early Warning ◽  
Bp Neural Network ◽  
Financial Risk ◽  
Financial Data ◽  
Early Warning Model ◽  
Risk Warning ◽  
Artificial Neural ◽  
Warning Model

The traditional financial risk warning model are all based on probability theory and statistical analysis, but the precisions of the results are usually not satisfied in practice. This paper studies the application of artificial neural network in corporate financial risk early-warning. It designs an early warning model of financial risk based on BP neural network. And then selects financial data from 30 enterprises as samples to train and test the network. The result indicates that the risk early warning model is very effective. It can solve some problems of the traditional early warning methods such as difficult to deal with highly non-linear and lack of adaptive capacity.

Research on financial risk early warning of listed companies based on neural network

2021 ◽  
Author(s):  
Wenqi Zhao ◽  
Jinyi Li ◽  
Junwei Wang ◽  
Wenjing Zhao
Keyword(s):  
Neural Network ◽  
Early Warning ◽  
Financial Risk ◽  
Listed Companies
Sign in / Sign up

Export Citation Format

Share Document