用于在线借贷信用风险预测的混合机器学习算法的性能评估

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-05-25 DOI:10.1080/08839514.2024.2358661

Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid

引用次数: 0

摘要

在处理信贷和评估相关风险方面，点对点系统仍处于早期发展阶段。在这项研究中，我们使用了一种混合卷积法，它可以对信贷风险进行评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction

Peer-to-Peer systems are still in the early stages of development when it comes to the processing of credit and the appraisal of the risk associated with it. In this study, we used a hybrid convolu...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.