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

摘要

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.