Empirical Study on the Construction of Enterprise Financial Warning Indicator System

Taking the listed companies as the research object, this paper has carried on an empirical research on corporate financial crisis. design a new financial early warning indicators system and pick out suitable indicators using the statistics method. After studying the domestic and foreign financial crisis warning model, this paper constructed financial crisis early warning model based on the improved BP neural network. Applying the first three years data of a listed company to the model to perform the empirical research, the consequences show that the improved BP neural network model has advantages over other models.