Listed Company Financial Early Warning Based on Improved BP Neural Network

Enterprise in financial trouble is a comprehensive event and the enterprise financial situation can be reflected through the liquidity ratio, earnings per share and net assets per share and cash content per share. Artificial neural network method is used to establish the financial early warning model to find the potential financial crisis at an early age. The experiment results show that BP neural network has good characteristics in financial situation evaluation and provides reliabe model for list company financial early warning.