Research On CFLD Financial Crisis Warning Based On BP Neural Network

Nowadays,The Times are changing all the time.Both science,information technology and social environment are developing rapidly.At the same time,crises in various aspects are also highlighted.As one of the most important and indispensable industries,it is urgent to study the crisis warning.In this paper,by studying the financial indicators of the real estate industry and using big data as a means,we strive to carry out a more accurate financial crisis warning.The crisis warning research of the real estate industry is also a new attempt.Based on some knowledge of financial risk,crisis,crisis warning and big data,this paper uses Python software to establish neural network BP model,selects 20 listed real estate companies as the research object,studies their financial indicators and constructs the financial crisis warning model of listed real estate companies.Finally,the model is applied to the case company CFLD enterprise,and the conclusion is drawn that CFLD is likely to have a financial crisis based on the financial crisis warning established by BP neural network.And put forward corresponding suggestions,and strive to reduce the company’s financial crisis and even the possibility of business bankruptcy.At the same time,as a case of the real estate industry,the development of the entire industry to provide meager power.