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Autor
Kitapci Olgun (Akdeniz University, Turkey), Tosun Ömür (Akdeniz University, Turkey), Tuna Murat Fatih (Cumhuriyet University, Turkey), Turk Tarik (Cumhuriyet University, Turkey)
Tytuł
The Use of Artificial Neural Networks (ANN) in Forecasting Housing Prices in Ankara, Turkey
Źródło
Journal of Marketing and Consumer Behaviour in Emerging Markets, 2017, nr 1(5), s. 4-14, rys. tab., bibliogr. 24 poz.
Słowa kluczowe
Mieszkalnictwo, Prognozowanie, Sztuczne sieci neuronowe (SSN), Ceny
Housing, Forecasting, Artificial neural networks (ANN), Prices
Uwagi
Klasyfikacja JEL: C15, D14, R31
summ.
Kraj/Region
Turcja
Turkey
Abstrakt
The purpose of this paper is to forecast housing prices in Ankara, Turkey using the artificial neural networks (ANN) approach. The data set was collected from one of the biggest real estate web pages during April 2013. A three-layer (input layer - one hidden layer - output layer) neural network is designed with 15 different inputs to forecast the future housing prices. The proposed model has a success rate of 78%. The results of this paper would help property investors and real estate agents in developing more effective property pricing management in Ankara. We believe that the artificial neural networks (ANN) proposed here will serve as a reference for countries that develop artificial neural networks (ANN) method-based housing price determination in future. Applying the artificial neural networks (ANN) approach for estimation of housing prices is relatively new in the field of housing economics. Moreover, this is the first study that uses the artificial neural networks (ANN) approach for analyzing the housing market in Ankara/Turkey. (original abstract)
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Bibliografia
Pokaż
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Cytowane przez
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ISSN
2449-6634
Język
eng
URI / DOI
http://dx.doi.org/10.7172/2449-6634.jmcbem.2017.1.1
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