Research on financial risk evaluation system of media listed enterprises based on BP neural network

Based on the BP neural network model, this paper selects 27 financial indicators as the input layer indicators of the BP neural network model. Combined with the characteristics of the media industry, the Z-score method is used to establish the output layer indicators of the BP neural network. A MATLAB simulation experiment is conducted to verify the feasibility, effectiveness and rationality of the established model. The results show that the BP neural network model has good simulation effect and can be used to predict the financial risk of media enterprises.