摘要
企业债务风险的提升与其自身经营管理水平的波动及投资决策是否失误存在密切关联。文章基于BP神经网络构建了一种企业债务风险预警系统,该系统由基础应用层、虚拟网络层、安全共识层、数据处理层及实际应用层等结构组成,实现了企业债务风险预警工作必需的功能,如构建基于BP神经网络的非线性预警模型等。
The increase of enterprise debt risk is closely related to the fluctuation of its own management level and whether the investment decision is wrong.This paper constructs an enterprise debt risk early warning system based on BP neural network.The system is composed of basic application layer,virtual network layer,security consensus layer,data processing layer and practical application layer.The necessary functions of enterprise debt risk early warning work are realized,such as the construction of nonlinear early warning model based on BP neural network.
作者
孟切
Meng Qie(Guizhou Provincial Department of Finance,Guiyang 550001,China)
出处
《无线互联科技》
2023年第7期64-67,共4页
Wireless Internet Technology
关键词
BP神经网络
企业债务风险
预警系统
智能风险监控
BP neural network
corporate debt risk
early warning system
intelligent risk monitoring