Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/2380
Title: Assessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Application
Authors: Cetkovic Jasmina
Lakic Slobodan
Lazarevska Marijana
Zarkovic Miloš
Vujoševic Saša
Cvijovic Jelena
Gogic Mladen
Keywords: Real Estate, Market value, artificial neural networks
Issue Date: 29-Jan-2018
Publisher: Hindawi
Journal: Complexity
Abstract: Usinganartificialneuralnetwork,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.
URI: http://hdl.handle.net/20.500.12188/2380
DOI: 10.1155/2018/1472957
Appears in Collections:Faculty of Civil Engineering: Journal Articles

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