Finding an accurate early forecasting model from small dataset: A case of 2019-ncov novel coronavirus outbreak

SJ Fong, G Li, N Dey, RG Crespo… - arXiv preprint arXiv …, 2020 - arxiv.org
Epidemic is a rapid and wide spread of infectious disease threatening many lives and
economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and …

Thermal coal futures trading volume predictions through the neural network

B Jin, X Xu, Y Zhang - Journal of Modelling in Management, 2024 - 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 …

[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 …

Forecasting wholesale prices of yellow corn through the Gaussian process regression

B Jin, X Xu - Neural Computing and Applications, 2024 - Springer
For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …

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 …

Yellow corn wholesale price forecasts via the neural network

X Xu, Y Zhang - EconomiA, 2023 - emerald.com
Purpose Forecasts of commodity prices are vital issues to market participants and policy
makers. Those of corn are of no exception, considering its strategic importance. In the …

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 …

Wholesale price forecasts of green grams using the neural network

B Jin, X Xu - Asian Journal of Economics and Banking, 2024 - emerald.com
Purpose Agriculture commodity price forecasts have long been important for a variety of
market players. The study we conducted aims to address this difficulty by examining the …

A comprehensive study of artificial intelligence and machine learning approaches in confronting the coronavirus (COVID-19) pandemic

MM Rahman, F Khatun, A Uzzaman… - … Journal of Health …, 2021 - journals.sagepub.com
The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a
pandemic, creating alarming impacts on health care, socioeconomic environments, and …

Sales prediction through neural networks for a small dataset

RM Cantón Croda, DE Gibaja Romero… - 2019 - reunir.unir.net
Sales forecasting allows firms to plan their production outputs, which contributes to
optimizing firms' inventory management via a cost reduction. However, not all firms have the …