Aiming at the low accuracy of the current financial risk early warning of electric power enterprises,the study uses FOA to optimize BP neural network,and constructs a financial risk early warning model for listed electric power enterprises on the basis of determining the financial risk index evaluation system,and the evaluation indicators are cash flow,growth ability,operational ability,debt servicing ability,profitability and market dimensions.In the financial crisis prediction of three types of enterprises:normal enterprises,mild financial crisis and severe financial crisis,the accuracy rates of TOA-BP neural network are 92.31％,91.67％and 91.67％,respectively.It is proved that the proposed enterprise financial evaluation system and fore-casting model have high degree accuracy,and can be applied to the financial risk control of enterprises.
关键词
BP神经网络/FOA/电力企业/经营风险/预警
Key words
BP neural network/FOA/electric power enterprise/operational risk/early warning
维普
万方数据