The Study Of Financial Distress Prediction For Electric Power Enterprise Based On BP Neural Network

After several decades development,the research of company's financial distress prediction has become a widespreadly concerned issue by scholars both at home and abroad.Not only has high academic value,but also it has great value to provide useful information for enterprise managers and stakeholders to do some decision-makings.Through the retrospect of the relevant literatures of company's financial distress prediction,as well as the characteristics of China's Power industry,the paper proposals an approach,including the definition of financial distress and the states of the financial distress,the selection of samples and explanatory variables,as well as the construction of financial distress prediction model aimed at Chinese Power enterprises.By solving the one by one,the paper finally built a financial distress prediction model for electric power enterprise based on BP neural network,and then used the model to predict the finacial distress of "HuaYin Power",which is a electric power enterprise of china.