The model and application of the financial risk evaluation in power enterprises based,on improved BP neural network algorithm
At present,the traditional or commonly used methods to measure the financial risk in power enterprises is limited and inadequate. To evaluate the financial risk of the power enterprises scientifically and accurately,this paper proposes the improved BP neural network model which imports the adjustable activation function and the Levenberg-Marquardt optimization algorithm for the financial risk evaluation. The improved model not only can simulate the expert in evaluating the financial risk and avoiding the subjective mistakes in the evaluation process,but also enhance the learning accuracy and the algorithm convergence speed greatly. The financial risk evaluation of 12 power enterprises in National Power Company shows that the improved model is stable and reliable,and this method to forecast the financial risk of the power enterprises is feasible.
improved BP neural network algorithm power enterprises financial risk comprehensive evaluation
Zhibin Liu Fengshan Xiong
Economics and Management Department,North China Electric Power University,Baoding 071003,China School of Business,Agricultural University of Hebei,Baoding 071001,China
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
524-528
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）