The field of neural network technology has been extensively studied in the last decade. This
has led to considerable research on its use in various scientific applications and to the …

A survey of journal articles on neural network business applications published between
1988 and 1995 indicates that an increasing amount of neural network research is being …

Purpose Industry 4.0 recognizes a broad set of technologies that rapidly redefine industry,
including real estate. These broad technologies include the Internet of things (IoT), cloud …

Determinants of house prices in Turkey are examined in this paper using the 2004
Household Budget Survey Data. In property valuation and housing market research, the …

The objective of this paper is to empirically compare the predictive power of the hedonic
model with an artificial neural network model on house price prediction. A sample of 200 …

To the best knowledge of authors, the use of Random forest as a potential technique for
residential estate mass appraisal has been attempted for the first time. In the empirical study …

During the last decade, neural networks have established themselves as a theoretically
sound alternative to traditional statistical models, and a large body of research on their …

Since the advent of online real estate database companies like Zillow, Trulia and Redfin, the
problem of automatic estimation of market values for houses has received considerable …

This article compares the predictive performance of artificial neural networks (ANN) and
multiple regression analysis (MRA) for single family housing sales. Multiple comparisons are …

Prior application of neural networks in finance and accounting, notably in bankruptcy
prediction, are limited to back-propagation neural networks. Their well-known …