A Novel Financial Risk Evaluation Model Based on Adaptive Genetic Algorithm
For the particularity of electric power enterprises themselves, the commonly methods used to forecast their financial risk is limited and inadequate. To forecast the financial risk of the power enterprises scientifically and accurately, this paper establishes a financial risk evaluation index system with the camel rating thinking, and then describes the adaptive genetic algorithm (AGA) evaluation mechanism. In this paper, we take the financial risk index data as the network operator samples. The financial risk forecast of 4 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.
AGA financial risk camel rating system comprehensive evaluation indez system
Junchen Jiang Ling Zhang Zhibin Liu
College of Economics and Trade Agricultural University of Hebei Baoding City, China School of Business Agricultural University of Hebei Baoding City, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
1052-1055
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）