A Study of Corporate Financial Crisis Prediction System: Based on BP Artificial Neural Network

摘要

Financial crisis is fatal to all companies. So, it is very important to establish a financial crisis prediction system for each company to resolve latent problems before they emerge. However, artificial neural network (ANN) offers an approach to computation that is different from conventional analytic methods. In this text, we construct a BP neural network model to predict the financial crisis of companies with the samples from Shanghai Stock Exchange and Shenzhen Stock Exchange. And it is proved that the model is appropriate.