| 基于RBF神经网络模型的信用评估 |
| |
| 引用本文： | 李建业.基于RBF神经网络模型的信用评估[J].现代计算机,2008(10). |
| |
| 作者姓名： | 李建业 |
| |
| 作者单位： | 广东省财政信息中心,广州510000 |
| |
| 摘 要： | 采用神经网络模型研究信用风险评估问题,鉴于RBF神经网络计算量小、学习速度快,不易陷入局部极小而且具有很强的分类能力等优点,提出基于RBF神经网络的信用评估模型,通过试验该模型展现了良好的性能.
|
| 关 键 词： | 信用评估 PJ3F神经网络 BP神经网络 聚类 最小二乘法 |
Credit Evaluation Based on RBF Neural Network Model |
| |
| LI Jian-ye.Credit Evaluation Based on RBF Neural Network Model[J].Modem Computer,2008(10). |
| |
| Authors: | LI Jian-ye |
| |
| Affiliation: | LI Jian-ye(Financial Information Centre of Guangdong Province,Guangzhou 510000) |
| |
| Abstract: | Adopts a neural network model to research on the problem of credit risk evaluation,in view of RBF neural network computing little,learning fast,not easy get into local minima,and it has a strong classifying capacity.So proposes a RBF neural network model has been pro-posed to assess the credit risk clients,this model shows a good performance through test in the end. |
| |
| Keywords: | Credit Evaluation RBF Neural Network BP Neural Network Clustering Least Squares |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
