摘要
针对现有方法对中小型制造生产类企业财务风险预警准确率较低的问题,本次研究引入数据挖掘技术,设计了一种中小型制造类企业财务风险在线预警模型,以期改善预警效果。文章首先分析中小型制造类企业的财务风险特征,选取财务风险指标,其次设置财务风险预警等级,最后引入数据挖掘技术,建立中小型制造类企业财务风险在线预警模型,实现企业财务风险在线预警。实验结果表明,该研究方法对企业财务风险预警准确率高于95.2%,优于对比方法,应用效果较好,具有更大的应用价值。
In view of the low accuracy of financial risk early warning for small and medium-sized manufacturing enterprises by existing methods,this study introduced data mining technology to design an online financial risk early warning model for small and medium-sized manufacturing enterprises,in order to improve the early warning effect.This paper first analyzes the financial risk characteristics of small and medium-sized manufacturing enterprises,completes the selection of financial risk indicators,and then sets the financial risk early warning level based on this.Finally,data mining technology is introduced to complete the establishment of the online financial risk early warning model of small and medium-sized manufacturing enterprises,and realize the online financial risk early warning of enterprises.The experimental results show that the accuracy of this research method is higher than 95.2%,which is better than the comparison method,and has better application effect and greater application value.
作者
李媛
LI Yuan(College of Business,Zhengzhou University of Industrial Technology,Zhengzhou Henan 451100,China)
出处
《信息与电脑》
2024年第2期97-99,共3页
Information & Computer
关键词
制造类企业
财务风险
组合预警
manufacturing enterprises
financial risk
portfolio early warning