Research on Intelligent Early Warning System for Enterprise Financial Risks Based on BAS-BP Network
In response to the problem of low accuracy of BP neural network in early warning of corporate fi-nancial risks,BAS is used to optimize the initial weights and thresholds of BP neural network,and an intel-ligent early warning system for enterprise financial risk based on BAS-BP neural network is constructed.By comparing with GA and PSO,the good performance of BAS in optimizing initial weights and thresholds is verified,and the optimal number of neurons in the hidden layer of BP neural network is obtained using trial and error method.By inputting data from 10 enterprises into the intelligent financial risk warning system,the financial risk levels of the enterprises are obtained,indicating that most enterprises in the real estate and automotive industries face relatively high financial risk levels in the operations.It has certain practical application value for enterprises to adjust their business strategies in a timely manner and ensure their healthy development.
BAS-BP networkcorporate financial risksintelligent early warning system
万方数据
维普
