Predictions of steel price indices through machine learning for the regional northeast Chinese market
B **, X Xu - Neural Computing and Applications, 2024 - Springer
Projections of commodity prices have long been a significant source of dependence for
investors and the government. This study investigates the challenging topic of forecasting …
investors and the government. This study investigates the challenging topic of forecasting …
Machine learning price index forecasts of flat steel products
B **, X Xu - Mineral Economics, 2024 - Springer
Investors and authorities have always placed a high emphasis on commodity price
forecasting. In this study, the issue of daily price index forecasting for flat steel products on …
forecasting. In this study, the issue of daily price index forecasting for flat steel products on …
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 …
significance of forecasting related to housing prices has undoubtedly elevated, which has …
Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China
B **, X Xu - Neural Computing and Applications, 2024 - Springer
The Chinese real estate market has grown at such a quick rate over the last few decades, up
to the current falling patterns that began at the end of 2021. This difficulty has made it more …
to the current falling patterns that began at the end of 2021. This difficulty has made it more …
[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 …
different property price patterns across various regions. Among different types of properties …
Regional steel price index predictions for North China through machine learning
B **, X Xu - International Journal of Mining and Mineral …, 2024 - inderscienceonline.com
Projections of commodity prices have long been heavily relied upon by investors and the
government. This study examines the challenging task of estimating the daily regional steel …
government. This study examines the challenging task of estimating the daily regional steel …
Regional steel price index predictions for the southwest Chinese market through machine learning
B **, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
Commodity price forecasts have long been a major source of reliance for both investors and
governments. This study analyses the difficult task of projecting regional steel price indices …
governments. This study analyses the difficult task of projecting regional steel price indices …
Pre-owned housing price index forecasts using Gaussian process regressions
B **, 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 …
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 …
decade, and house price forecasting has evolved to be a significant issue that draws …
A comparative study of machine learning and spatial interpolation methods for predicting house prices
J Kim, Y Lee, MH Lee, SY Hong - Sustainability, 2022 - mdpi.com
As the volume of spatial data has rapidly increased over the last several decades, there is a
growing concern about missing and incomplete observations that may result in biased …
growing concern about missing and incomplete observations that may result in biased …