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Agricultural product price forecasting methods: research advances and trend
L Wang, J Feng, X Sui, X Chu, W Mu - British Food Journal, 2020 - emerald.com
Purpose The purpose of this paper is to provide reference for researchers by reviewing the
research advances and trend of agricultural product price forecasting methods in recent …
research advances and trend of agricultural product price forecasting methods in recent …
Corn cash price forecasting with neural networks
X Xu, Y Zhang - Computers and Electronics in Agriculture, 2021 - Elsevier
We explore the forecasting issue in a data set of daily corn cash prices from nearly 500
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …
Thermal coal futures trading volume predictions through the neural network
B **, X Xu, Y Zhang - Journal of Modelling in Management, 2025 - emerald.com
Purpose Predicting commodity futures trading volumes represents an important matter to
policymakers and a wide spectrum of market participants. The purpose of this study is to …
policymakers and a wide spectrum of market participants. The purpose of this study is to …
[HTML][HTML] Edible oil wholesale price forecasts via the neural network
X Xu, Y Zhang - Energy Nexus, 2023 - Elsevier
For a wide spectrum of agricultural market participants, building price forecasts of various
agricultural commodities has always been a vital project. In this work, we approach this …
agricultural commodities has always been a vital project. In this work, we approach this …
Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
X Xu, Y Zhang - Mineral Economics, 2023 - Springer
Forecasting commodity prices is a vital issue to a wide spectrum of market participants and
policy makers in the metal sector. In this work, the forecast problem is investigated by …
policy makers in the metal sector. In this work, the forecast problem is investigated by …
Wholesale food price index forecasts with the neural network
X Xu, Y Zhang - International Journal of Computational Intelligence …, 2023 - World Scientific
Food price forecasts in the agricultural sector have always been a vital matter to a wide
variety of market participants. In this work, we approach this forecast problem for the weekly …
variety of market participants. In this work, we approach this forecast problem for the weekly …
Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level
X Xu, Y Zhang - Ironmaking & Steelmaking, 2023 - journals.sagepub.com
There is little doubt about importance of forecasting commodity prices to policy makers and
diverse varieties of market participants. In this present work, we analyse price forecasting …
diverse varieties of market participants. In this present work, we analyse price forecasting …
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China
T **ong, C Li, Y Bao - Neurocomputing, 2018 - Elsevier
In view of the importance of seasonal forecasting of agricultural commodity price, particularly
vegetable prices, and the limited research attention paid to it previously, this study proposes …
vegetable prices, and the limited research attention paid to it previously, this study proposes …
Deep long short-term memory based model for agricultural price forecasting
Agricultural price forecasting is one of the research hotspots in time series forecasting due to
its unique characteristics. In this paper, we developed a deep long short-term memory …
its unique characteristics. In this paper, we developed a deep long short-term memory …
Neural network-based interval forecasting of construction material prices
Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …
construction projects. Material price fluctuation is one of the most important contributors to …