摘要
在建立公司债券财务质量指标体系的基础上,提出了用神经网络对公司债券财务质量的综合评价方法,并利用数据进行了实证,得到了较好的评价结果。
In this paper,the BP(Back propagation)neural network model is applied to evaluate enterprises bond finacial quality grading,which deals with eleven kinds of factors of enterprises bond finacial quality.Simulation result shows that the model need not defining weight number,and is better than other methods.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第10期243-245,共3页
Computer Engineering and Applications
关键词
人工神经网络
BP算法
公司债券
财务质量评级
Negotiable securities and credit evaluation grading index system,BP(Back propagation)neural network mod-el,Application example