企业信用等级评估是金融领域重要的问题 ,论文采用人工神经网络模型研究企业信用等级的评估问题 .按照企业样本在信用等级的分布状况来抽样 ,然后 ,根据企业样本性质的不同 ,将其分为制造业和非制造业两大类 .利用偏相关分析方法建立了企业信用评级的指标体系 .此外 ,还介绍了几种企业信用评级常用的评估模型 ,并将神经网络评估模型的性能和其他的信用评估模型作了比较 ,实验结果表明神经网络模型具有更好的预测准确性Credit rating of the enterprise is very important problem in the financial field. In this article, we researched this problem using artificial neural network model. We got the samples basing on the distribution of credit rating of the all samples. And then, we divided the samples of the enterprises into two sets, one is manufacture and the other is non manufacture, we also developed an indicators′ system using partial correlation method. Furthermore, we introduced many credit assessment models in common use and compared the result of our model with that of some of them. The result from the experiment shows that our model is more applicable and suitable
