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基于BP神经网络的轨道交通对房地产价格影响分析 Title:AnalysisoftheImpactofRailTransitonRealEstatePricesBasedonBPNeuralNetwork Abstract: Withtherapiddevelopmentofurbanizationandtransportationsystems,railtransithasbecomeanessentialcomponentofmoderncities.Theimpactofrailtransitontheoverallurbanenvironment,includingrealestateprices,hasbeenatopicofconsiderableinterestamongresearchers,policymakers,andurbanplanners.Inthispaper,weaimtoanalyzetheinfluenceofrailtransitonrealestatepricesusingaBPneuralnetworkmodel.Thestudyprovidesinsightsintotherelationshipbetweenrailtransitdevelopmentandrealestatepricesandoffersvaluableguidanceforurbanplanningandeconomicdevelopment. 1.Introduction: Theintroductionsectionpresentsanoverviewofthepaper,discussingtheimportanceofrailtransitanditspotentialimpactonrealestateprices.Italsopresentstheobjectivesandsignificanceofthisstudy. 2.LiteratureReview: Thissectionprovidesanoverviewofpreviousresearchontherelationshipbetweenrailtransitandrealestateprices.Ithighlightsexistingmethodologies,models,andfindingsrelatedtothisareaofstudy.Thereviewaimstoidentifygapsintheliteratureandjustifytheneedfortheproposedresearch. 3.DataCollectionandPreprocessing: Thissectiondescribesthedatacollectionprocess,includingthesourcesandtypesofdatausedinthestudy.Italsodiscussesthepreprocessingtechniquesappliedtoensurethequalityandcompatibilityofthedataforsubsequentanalysis. 4.Methodology: ThemethodologysectionfocusesontheBPneuralnetworkmodelusedforanalyzingtheimpactofrailtransitonrealestateprices.ItprovidesadetailedexplanationoftheworkingprinciplesoftheBPneuralnetworkandhowitisappliedinthisspecificcontext.Thesectionalsodiscussesthevariablesandfactorsconsideredinthemodel. 5.ResultsandDiscussion: Thissectionpresentstheresultsoftheanalysis,includingtherelationshipbetweenrailtransitdevelopmentandrealestateprices.Itdiscussesthefindingsindetail,highlightingsignificantfactorsandvariablescontributingtotheimpactofrailtransitonrealestateprices.Thesectionalsocomparestheresultswithexistingstudiesandoffersexplana

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