一种新的银行客户信用评级分类算法

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI:10.1109/ICACI.2017.7974499

Haoxin Wang, Jingdong Zhong, Defu Zhang, Xinyao Zou

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引用次数: 3

摘要

本文提出了一种结合三种优秀分类算法的组合模型来解决银行客户信用评级问题。对德国、澳大利亚、中国和日本的知名银行信用记录的计算结果表明，与其他最先进的分类算法相比，本文算法在大多数实验案例中具有更高的效率和更好的评价结果。

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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A new classification algorithm for the bank customer credit rating

This paper develops a new combination model incorporating three excellent classification algorithms to solve the bank customer credit rating problem. Computational results on well-known credit records from German, Australian, Chinese and Japan banks show that, compared with other state-of-the-art classification algorithms, the proposed algorithm has higher efficiency and better evaluation results in most experimental cases.

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2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)

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