The main goal of this paper was to explore the use of an artificial neural network (ANN)
model in predicting real estate prices in the Middle East market. Although conventional …

In the modern scientific literature, there are many reports about the successful application of
neural network technologies for solving complex applied problems, in particular, for …

Real estate appraisal is needed in assessment of the value of properties and contribute the
regional economy of any country. Real estate valuation is thus an important subject, which …

Along with the development of technology in recent years, artificial intelligence (machine
learning) techniques that perform operations, such as learning, classification, association …

Purpose The purpose is twofold. First, this study aims to establish that black box tree-based
machine learning (ML) models have better predictive performance than a standard linear …

The scientific literature and practical studies show that one of the main challenges facing the
ongoing development of sustainable real estate markets is the understanding of the …

Comparing predictive performance of general regression neural network (GRNN) and hedonic
regression model for factors affecting housing prices in “Pune-India” | Emerald Insight Books …

In the last decades, some global events such as the economic crisis of 2008 and the COVID-
19 emergency of 2020, have generated more attention towards the housing rental market …

The objective of the study was to find the answer to the question: if an image is worth more
than a thousand words, how much is the virtual reality (VR) valuable for emotion recognition …

Существующие математические модели массовой оценки и прогнозирования
рыночной стоимости жилых объектов обладают рядом недостатков: разработанные …