.png){kind=icon}
返回
Evaluating consumer loans using neural networks
.png){kind=icon}
PRE
AI
DOI：10.1016/S0305-0483(03)00016-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A number of credit-scoring models that accurately classify consumer loan applications have been developed to aid traditional judgmental methods. This study compares the performance of multiple discriminant analysis (MDA) and neural networks in identifying potential loan. The neural network models consistently perform better than the MDA models in identifying potential problem loans. To alleviate the problem of bias in the training set and to examine the robustness of neural network classifiers in identifying problem loans, we cross-validate our results through seven different samples of the data. (C) 2003 Elsevier Science Ltd. All rights reserved.
Keyword:
neural networks
credit risk
credit unions
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
O
IF:
7.2
论文数:
3.7K
被引数:
1.4W
机构
暂无机构信息
引用论文
.png){kind=icon}
查看更多内容