Investigation of Listed Companies Credit Risk Assessment Based on Different Learning Schemes of BP Neural Network

  •  Yanyan Han    
  •  Bo Wang    


Credit risk analysis of enterprise is an important topic in financial field, this paper employs BP neural network to
solve this problem. Indexes system of company and three different BP neural networks have been built. The
neural networks are trained using financial data from different industry. We use Matlab program and neural
network to get the results in seven learning schemes with different training-to-validation data ratios.
Experimental results will suggest which neural network model, and under which learning scheme can deliver
optimum performance.

This work is licensed under a Creative Commons Attribution 4.0 License.