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1、AbstractAbstractEnergyandfinancearethetwomajorthemesofsocialeconomicgrowthanddevelopment,energyisthebasicdrivingforceforeconomicprogressandoperationofmodernsociety,andfinanceiswidelypenetratedintoallaspectsofeconomiclifeofthepeople.However,withthedevelopmentoftheenergyindustryandfi
2、nancialcompetitionintensifies,manycontradictionsandproblemsinthedevelopmentofenergyfinancehasgraduallyemerged,thedevelopmentofenergyfinanceinChinaarefacingmanyuncertainfactors,whichposeaseriouschallengetotheenergyandfinancialsecurity.Therefore,inviewofenergyfinancefacesmanyuncertai
3、nfactors,monitoringandevaluationfinancialsecurityoftheenergyproductionindustry,timelyfoundunsafefactorsofenergyfinance,andimprovementit,ensuresafeandsustainableenergydevelopmentofenergyfinanceinourcountry,thathasimportantpracticalsignificance.Thispaperanalyzestheresearchbackgrounda
4、ndsignificanceoftheenergyproductionfinancialindustrysafetyevaluation.Accordingtothecharacteristicsofexistingfinancialsecurityofenergyproductionindustry,fromthemacroscopiceconomicenvironmentsafetyimpactassessmentindex,financialfinancingsafetyimpactassessmentindicatorsandsafetyoffina
5、ncialinvestmenteffectevaluationindexofthreeaspectstoconstructtheenergyproducingindustrycomprehensiveevaluationindexsystemoffinancialsecurity.Combiningtheevaluationindexesandthecharacteristicsofdatasamples,theestablishmentofageneticalgorithm(GA)optimizetheBPneuralnetworkmodelofenerg
6、yindustryfinancialsafetyevaluation.Inviewoftheelectricpowercenterpositionintheenergy,thispaperselectstheelectricpowerproductionindustryempiricalanalysisontheevaluationoffinancialsecurity,accordingtotheresultsofempiricalanalysis,foundfromtheconvergencespeedandtheoutputresultaccuracy
7、,GA-BPneuralnetworkmodelisobviousbetterthanthesingleBPneuralnetworkmodel.Atthesametime,accordingtothetestresultsobtainedbyGA-BPneuralnetworkmodel,foundforecastresultsofeachindexandsafetyscoreinlinewiththeactualsituationoftheelectricpowerproductionindustryfinance,whichverifiesthepra
8、cticabilityandapplicabilit