基于主成分分析算法的财务风险信息自动识别系统研究  

Research on Automatic Identification System of Financial Risk Information Based on Principal Component Analysis Algorithm

作　　者：王斓斐 杨怡雯 WANG Lan-fei;YANG Yi-wen(The University of Sydney,New SouthWales,NSW 2006 Australia;Renji Hospital Shanghai Jiao Tong University School of Medicine,Shanghai 200127 China)

机构地区：[1]悉尼大学,澳大利亚新南威尔士州2006 [2]上海交通大学医学院附属仁济医院,上海200127

出　　处：《自动化技术与应用》2025年第3期70-73,78,共5页Techniques of Automation and Applications

摘　　要：为了准确分辨财务风险,为管理决策提供数据依据,设计了基于主成分分析算法的财务风险信息自动识别系统。通过数据交换引擎从网络或相关金融平台获取财务信息,利用财务数据导入模块调取基础数据层的财务信息,利用HDFS分布式存储模块完成财务信息的存储,利用主成分分析建立财务风险信息评估模型,确定财务风险等级。实验结果表明:该系统可实现财务风险信息评估指标的选择,识别各子公司的财务风险信息等级,且系统响应效率不超过4 s,功耗水平低。In order to distinguish financial risk accurately and provide data basis for management decision,an automatic identification system of financial risk information based on principal component analysis algorithm is designed.It obtains financial information from the network or relevant financial platform through the data exchange engine,uses the financial data import module to retrieve the financial information of the basic data layer,uses the HDFS distributed storage module to complete the storage of financial information,uses the principal component analysis to establish the financial risk information evaluation model,and determines the financial risk level.The experimental results show that the system can realize the selection of financial risk information evaluation indicators,identify the financial risk information level of each subsidiary,and the system response efficiency is less than 4 s,and the power consumption level is low.

关 键 词：主成分分析 财务风险 自动识别 分布式存储 数据通信 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]