Artificial neural network in property valuation: application framework and research trend
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 …
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
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 …
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
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 …
bankruptcy and economic slowdown are indicators of the adverse effects of fluctuations in …
Modelling property values in Nigeria using artificial neural network
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 …
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
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 …
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
Los modelos econométricos en la valoración de precios inmobiliarios constituyen una
herramienta útil tanto para los compradores como para las autoridades locales y fiscales …
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 …
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
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 …
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
Abstract The Hedonic Model, a traditional method for forecasting house prices has been
criticised due to nonlinearity, multicollinearity and heteroskedasticity problems, which were …
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 …
creating a growing interest of market operators. The attention to this formula is not only local …