Applications of Artificial Intelligence Technologies in Credit Scoring: a Survey of Literature

被引：0
|
作者：
Chen, Bili [1 ]
Zeng, Wenhua [1 ]
Lin, Yangbin [2 ]
机构：
[1] Xiamen Univ, Software Sch, Xiamen, Peoples R China
[2] Xiamen Univ, Software Informat Sci & Engn, Xiamen, Peoples R China
来源：
2014 10TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2014年
基金：
美国国家科学基金会;
关键词：
credit scoring; support vector machine; artificial neural networks; genetic algorithms; genetic programming; SUPPORT VECTOR MACHINES; NEURAL-NETWORKS; BANKRUPTCY PREDICTION; GENETIC ALGORITHM; MODELS; BUSINESS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Credit scoring is becoming a competitive issue with rapid growth and significant advance. Building a satisfactory credit model has attracted lots of researchers in the past decades and it is still one of the hottest research topics in the field of credit industry. This paper emphasizes on surveying the development of the artificial intelligence technologies for solving credit scoring. It covers algorithms including the support vector machines, artificial neural networks, genetic algorithms, genetic programming algorithms and their hybridization.
引用
收藏
页码：658 / 664
页数：7
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