Artificial neural network systems

R Dastres, M Soori - International Journal of Imaging and Robotics (IJIR …, 2021 - hal.science
Artificial Neural Networks is a calculation method that builds several processing units based
on interconnected connections. The network consists of an arbitrary number of cells or …

The role of neural network for estimating real estate prices value in post COVID-19: a case of the middle east market.

LT Khrais, OS Shidwan - International Journal of Electrical & …, 2023 - search.ebscohost.com
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 …

[HTML][HTML] House price forecasting with neural networks

X Xu, Y Zhang - Intelligent Systems with Applications, 2021 - Elsevier
The house market has been rapidly growing for the past decade in China, making price
forecasting an important issue to the people and policy makers. We approach this problem …

Residential housing price index forecasting via neural networks

X Xu, Y Zhang - Neural Computing and Applications, 2022 - Springer
During the past decade, the housing market in China has witnessed rapid growth and the
significance of forecasting related to housing prices has undoubtedly elevated, which has …

Office property price index forecasting using neural networks

X Xu, Y Zhang - Journal of Financial Management of Property and …, 2024 - emerald.com
Purpose The Chinese housing market has witnessed rapid growth during the past decade
and the significance of housing price forecasting has undoubtedly elevated, becoming an …

[HTML][HTML] A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation

X Xu, Y Zhang - Decision Analytics Journal, 2023 - Elsevier
The real estate market in China has been growing rapidly during the past decade, with
different property price patterns across various regions. Among different types of properties …

Second-hand house price index forecasting with neural networks

X Xu, Y Zhang - Journal of Property Research, 2022 - Taylor & Francis
The house market in China has been growing rapidly for the past decade and price
forecasting has become a significant issue to the people and policymakers. We approach …

Retail property price index forecasting through neural networks

X Xu, Y Zhang - Journal of Real Estate Portfolio Management, 2023 - Taylor & Francis
Rapid growth has been seen in the Chinese housing market during the past decade, and
housing price forecasts have become more significant to investors and policy makers. In this …

Pre-owned housing price index forecasts using Gaussian process regressions

B Jin, X Xu - Journal of Modelling in Management, 2024 - emerald.com
Purpose The purpose of this study is to make property price forecasts for the Chinese
housing market that has grown rapidly in the last 10 years, which is an important concern for …

Composite property price index forecasting with neural networks

X Xu, Y Zhang - Property Management, 2023 - emerald.com
Purpose The Chinese housing market has gone through rapid growth during the past
decade, and house price forecasting has evolved to be a significant issue that draws …