Applications of artificial intelligence technologies in credit scoring: A survey of literature

Bili Chen, Wenhua Zeng, Yangbin Lin
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引用次数: 5

Abstract

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.
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人工智能技术在信用评分中的应用:文献综述
随着信用评分的快速增长和显著进步,它正成为一个竞争激烈的问题。在过去的几十年里,建立一个令人满意的信用模式吸引了大量的研究者,它仍然是信贷行业领域的研究热点之一。本文着重对人工智能技术在解决信用评分方面的发展进行了综述。它涵盖的算法包括支持向量机,人工神经网络,遗传算法,遗传规划算法及其杂交。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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