基于人工智能系统经济学的企业会计风险预警模型

Ya Gui
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引用次数: 0

摘要

人工智能(AI)的发展进入了一个新的阶段,其中金融业最为关键,即风险控制管理。本文基于计算机技术构建了一个企业财务预警系统。通过对国内外文献、专家经验和相关行业理论的分析和总结,发现中国中小企业存在资金不足等影响其成长前景和产生风险的因素。同时,基于AI系统,设计了企业财务风险预警(REW)模型。随后对模型进行了仿真和测试。测试结果表明,基于AI系统经济学的企业财务会计REW模型对风险事件的处理速度较快,风险预测准确率高达90%以上。这说明该模式能够满足用户的需求,从而促进中小企业健康、有序、可持续的成长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enterprise Accounting Risk Early Warning Model Based on Artificial Intelligence System Economics
The growth of artificial intelligence(AI) has entered a new stage, of which the financial industry is the most critical, that is, risk control management. In this paper, based on computer technology to build an enterprise financial early warning system. Through the analysis and summary of domestic and foreign literature, expert experience and relevant industrial theories, it is found that there are some problems existing in SMEs in China, such as insufficient funds and other factors that affect their growth prospects and generate risks. At the same time, based on the AI system, the enterprise financial risk early warning(REW) model is designed. Later, the model was simulated and tested. The test results showed that the enterprise financial and accounting REW model based on AI system economics took a fast time to deal with risk events, and the accuracy of risk prediction was up to more than 90%. This shows that the model can meet the needs of users, thus promoting the healthy, orderly and sustainable growth of SMEs.
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