期刊文献+

人工智能促进经常项目外汇管理方式的探索

Artificial Intelligence Promotes Foreign Exchange Management of Current Account
下载PDF
导出
摘要 本文通过研究和借鉴国内外人工智能技术在金融及监管领域的应用经验,以我国当前外汇管理现状为基础,融合宏观与微观管理、事前事中事后监管这两条主线,纵向研究和探索人工智能技术在外汇管理各领域里的应用途径。通过引入"沙箱技术"打造外汇业务的事前监管安全区,利用"数据挖掘"和"AI+内容生产"等技术搭建外汇宏观监测分析预警智能体系,采用"数据切片"和"特征学习"等技术构筑外汇微观主体监管智能雷达阵地。 By studying and drawing lessons from the application experience of AI technology in the field of Finance and supervision at home and abroad, based on the current situation of foreign exchange management in China, this paper combines macro-and micro-management with ex ante, ex ante and ex post supervision to study and explore the application of AI technology in various fields of foreign exchange management vertically. The way. By introducing "sandbox technology" to build the safety zone of foreign exchange business pre-supervision, using "data mining" and "AI + content production" technology to build an intelligent system of foreign exchange macro-monitoring, analysis and early warning, and using "data slicing" and "feature learning" technology to build an intelligent radar position for foreign exchange nficro-subject supervision.
作者 王在高 李亦楠 于文婷 赵文宏 WANG Zaigao;LI Yinan;YU Wenting;ZHAO Wenhong
出处 《吉林金融研究》 2018年第11期37-41,共5页 Journal of Jilin Financial Research
关键词 外汇 人工智能 监管 Foreign Exchange AI Supervision
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部