Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/2380
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dc.contributor.authorCetkovic Jasminaen_US
dc.contributor.authorLakic Slobodanen_US
dc.contributor.authorLazarevska Marijanaen_US
dc.contributor.authorZarkovic Milošen_US
dc.contributor.authorVujoševic Sašaen_US
dc.contributor.authorCvijovic Jelenaen_US
dc.contributor.authorGogic Mladenen_US
dc.date.accessioned2019-07-01T11:54:42Z-
dc.date.available2019-07-01T11:54:42Z-
dc.date.issued2018-01-29-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/2380-
dc.description.abstractUsinganartificialneuralnetwork,itispossiblewiththeprecisionoftheinputdatatoshowthedependenceofthepropertyprice from variable inputs. It is meant to make a forecast that can be used for different purposes (accounting, sales, etc.), but also for the feasibility of building objects, as the sales price forecast is calculated. The aim of the research was to construct a prognostic model of the real estate market value in the EU countries depending on the impact of macroeconomic indicators. The available inputdatademonstratesthatmacroeconomicvariablesinfluencedeterminationofrealestateprices.Theauthorssoughttoobtain correctoutputdatawhichshowpricesforecastintherealestatemarketsoftheobservedcountries.en_US
dc.language.isoenen_US
dc.publisherHindawien_US
dc.relation.ispartofComplexityen_US
dc.subjectReal Estate, Market value, artificial neural networksen_US
dc.titleAssessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Applicationen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1155/2018/1472957-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Faculty of Civil Engineering: Journal Articles
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