基于神經(jīng)網(wǎng)絡技術的高校財務風險預警研究.pdf

1、東南大學碩士學位論文基于神經(jīng)網(wǎng)絡技術的高校財務風險預警研究姓名：曹慧申請學位級別：碩士專業(yè)：會計學指導教師：吳應宇20081231Pre—warningStudyofUniversities’FinancialRiskBasedonANNTechniqueGraduate：CaoHuiSupervisor：ProfWuYingyuSoutheastUniversityAbstractWiththedeepeningofcollegesa

2、nduniversities’reformandtherapiddevelopment，thecapacityofrunningcollegesanduniversitieshasbeenenhancedandfinancialaffairsofcollegesanduniversitiesfacemorecomplicatedsituationOntheonehand，thebenefitofrunningcollegesanduni

3、versitiesisshortofcontrastandevaluation，SOitisdifficulttOusecollegesanduniversities’capitalandeducationresourceseffectivelyOntheotherhand，somecollegesanduniversitiesoverinvestandgobeyondtheirfinancialcapacity，SOthatresul

4、tsinmorefinancialcrisisInordertOmanageandregulatecollegesanduniversities’financialafairsbystate，strengthencollegesanduniversities’innermanagement，findallkindsofissuesincollegesanduniversities’financialfunctionsassoonaspo

5、ssibleandpredictandforecastfinancialcrisisintime，establishinganeffectivefinancialprewarningsystemisveryurgentThethesisstudiesfinancialriskevaluation，forecastingandcontrolofuniversitiesinthehopeofreferenceforthemanagement

6、ofuniversities’financialriskworkThearticleusesrelevantstudyresulthomeandabroadandcurrentfinanceandaccountingdata。selects76UniversitieswhichbelongtoMinistryOfEducationasanalysissample，setsupthesystemoffinancialratios，anda

7、doptsmethodofprincipalcomponentanalysistomakeanempiricalanalysisoftheuniversities’finaneialriskconditionfrom2005to2007，alsoitstudiesthedevelopingtrendsofuniversities’financialriskbydividingthesampleuniversitiesintothreek

8、indsAndthenthearticleadoptsArtificialNeuralNetworkanalysisandconstructsuniversities’financialriskforecastingmodelTheformativetrainingsampledataareusedtOtraintheANNmodelThethesiscontainsfivechaptersThefirstchapterdescribe

9、sthebackground，thesignificanceofthissmdyandthestructureofthispaperChaptertwowillreviewtheliteratureinresearchfieldsoffinancialriskprediction，andanalyzeitsshortcomingsandfutureresearchtrendsChapterthreeandchapterfourareth

10、eprincipalpartofthispaperChapterthteewillestablishafinancialriskforecastingmodelusingprincipalcomponentanalysisandANNwithfinancialandnonfinancialindicatorsChapterfourwillresearch76universitieswhichbelongtOMinistryofEduca