2023年2月25日第7卷第4期现代信息科技ModernInformationTechnologyFeb.2023Vol.7No.414142023.022023.02收稿日期:2022-10-11基金项目:2022年度河北省社会科学发展研究课题(20220202106)基于CNN的医药制造业财务危机预警研究王晓华,马悦,邢东森(河北工程大学管理工程与商学院,河北邯郸056038)摘要:医药制造业是国家重点产业之一,具有高投入、高产出、高风险的特点。2019年新型冠状病毒(2019-nCoV)疫情暴发,医药制造业迎来了加速发展的良好契机,同时更容易诱发财务危机。规避财务风险,促进行业健康发展至关重要。文章构建了基于主成分分析法和卷积神经网络(CNN)相结合的财务危机预警模型,对73家医药公司2015—2020年的财务指标进行分析,以期为医药行业的发展提供借鉴,合理预测财务危机。这对促进医药行业健康发展,保障民生安全意义重大。关键词:医药制造企业;卷积神经网络;财务危机预警;主成分分析法中图分类号:TP39;F275文献标识码:A文章编号:2096-4706(2023)04-0014-04ResearchonFinancialCrisisWarningofPharmaceuticalManufacturingIndustryBasedonCNNWANGXiaohua,MAYue,XINGDongsen(SchoolofManagementEngineeringandBusiness,HebeiUniversityofEngineering,Handan056038,China)Abstract:Pharmaceuticalmanufacturingindustryisoneofthekeyindustriesinthecountrywiththecharacteristicsofhighinput,highoutputandhighrisk.TheoutbreakofthenewCoronaVirusin2019(2019-nCoV)hasusheredinagoodopportunityforthepharmaceuticalmanufacturingindustrytoaccelerateitsdevelopment.Atthesametime,itismorelikelytoinducefinancialcrisis.Itiscrucialtoavoidfinancialrisksandpromotethehealthydevelopmentoftheindustry.Inthispaper,afinancialcrisiswarningmodelbasedonthecombinationofPrincipalComponentAnalysisandConvolutionalNeuralNetwork(CNN)isconstructed,andthefinancialindicatorsof73pharmaceuticalcompaniesfrom2015to2020areanalyzed,soastoprovidereferenceforthedevelopmentofthepharmaceuticalindustryandreasonablypredictthefinancialcrisis.Thisisofgreatsignificancetopromotingthehealthydevelopmentofthepharmaceuticalindustryandensuringthesafetyofpeople'slivelihood.Keywords:pharmaceuticalmanufacturingenterprise;CNN;financialcrisiswarning;PrincipalComponentAnalysis0引言医...