Artificial neural network in property valuation: application framework and research trend

RB Abidoye, APC Chan - Property Management, 2017 - emerald.com
Purpose The predictive accuracy and reliability of artificial intelligence models, such as the
artificial neural network (ANN), has led to its application in property valuation studies …

Improving property valuation accuracy: A comparison of hedonic pricing model and artificial neural network

RB Abidoye, APC Chan - Pacific Rim Property Research Journal, 2018 - Taylor & Francis
Inaccuracies in property valuation is a global problem. This could be attributed to the
adoption of valuation approaches, with the hedonic pricing model (HPM) being an example …

Predicting property price index using artificial intelligence techniques: Evidence from Hong Kong

RB Abidoye, APC Chan, FA Abidoye… - International journal of …, 2019 - emerald.com
Purpose Booms and bubbles are inevitable in the real estate industry. Loss of profits,
bankruptcy and economic slowdown are indicators of the adverse effects of fluctuations in …

Modelling property values in Nigeria using artificial neural network

RB Abidoye, APC Chan - Journal of Property Research, 2017 - Taylor & Francis
Unreliable and inaccurate property valuation has been associated with techniques currently
used in property valuation. A possible explanation for these findings may be due to the …

Automated valuation models for real estate portfolios: A method for the value updates of the property assets

F Tajani, P Morano, K Ntalianis - Journal of Property Investment & …, 2018 - emerald.com
Purpose As regards the assessment of the market values of properties that compose real
estate portfolios, the purpose of this paper is to propose and test an automated valuation …

[PDF][PDF] Artificial neural networks for predicting real estate price

JMN Tabales, JM Caridad, FJR Carmona - Revista de Métodos …, 2013 - redalyc.org
Los modelos econométricos en la valoración de precios inmobiliarios constituyen una
herramienta útil tanto para los compradores como para las autoridades locales y fiscales …

Multicriteria analysis and genetic algorithms for mass appraisals in the Italian property market

P Morano, F Tajani, M Locurcio - International Journal of Housing …, 2018 - emerald.com
Purpose This paper aims to test and compare two innovative methodologies (utility additive
and evolutionary polynomial regression) for mass appraisal of residential properties. The …

An innovative GIS-based territorial information tool for the evaluation of corporate properties: An application to the Italian context

M Locurcio, P Morano, F Tajani, F Di Liddo - Sustainability, 2020 - mdpi.com
The financial transmission of the USA's housing price bubble has highlighted the
inadequacy of the valuation methods adopted by the credit institutions, due to their static …

The artificial neural network model (ANN) for Malaysian housing market analysis

SNA Rahman, NHA Maimun, MNM Razali… - Planning …, 2019 - planningmalaysia.org
Abstract The Hedonic Model, a traditional method for forecasting house prices has been
criticised due to nonlinearity, multicollinearity and heteroskedasticity problems, which were …

Bare ownership evaluation. Hedonic price model vs. artificial neural network

P Morano, F Tajani - International Journal of Business …, 2013 - inderscienceonline.com
In the current downturn of European real estate market, the sale of the bare ownership is
creating a growing interest of market operators. The attention to this formula is not only local …