基于人工智能算法的企业财务风险智能控制系统

Yufeng He
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引用次数: 1

摘要

为了克服传统企业财务风险控制系统中财务风险数据挖掘精度低、稳定性差的问题,本文提出了一种基于人工智能算法的新型企业财务风险智能控制系统。结合B/S三层结构和MVC架构,设计了系统的总体结构。根据系统的总体结构,对系统硬件进行设计,以满足系统的运行和使用需求。系统硬件模块主要包括用户注册模块、财务风险程度判断模块和数据仓库模块。通过各模块的协调,可以提高系统的整体运行性能。在系统软件部分,利用人工智能算法对企业财务风险数据进行充分挖掘,构建财务风险管控模型,实现对财务风险的智能管控。实验结果表明,与传统的风险管控系统相比,所设计的系统具有更高的金融风险数据挖掘精度,并能提高系统的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enterprise financial risk intelligent control system based on artificial intelligence algorithm
In order to overcome the problems of low precision and poor stability of financial risk data mining in traditional enterprise financial risk control system, this paper proposes a new enterprise financial risk intelligent control system based on artificial intelligence algorithm. Combined with B/S three-tier structure and MVC architecture, the overall structure of the system is designed. According to the overall structure of the system, the system hardware is designed to meet the operation and use needs of the system. The system hardware module mainly includes user registration module, financial risk degree judgment module and data warehouse module. Through the coordination of each module, the overall operation performance of the system can be improved. In the software part of the system, the artificial intelligence algorithm is used to fully mine the enterprise financial risk data, and the financial risk management and control model is constructed to realize the intelligent management and control of financial risk. The experimental results show that, compared with the traditional risk management and control system, the designed system has higher accuracy of financial risk data mining, and can improve the stability of the system.
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