2024 article

Forecasting wholesale prices of yellow corn through the Gaussian process regression

Jin, B., & Xu, X. (2024, March 1). NEURAL COMPUTING & APPLICATIONS.

By: B. Jin & X. Xu n

author keywords: Commodity price; Corn; Forecasting; Machine learning; Gaussian process regression
Source: Web Of Science
Added: March 18, 2024

2024 article

Platinum and palladium price forecasting through neural networks

Xu, X., & Zhang, Y. (2024, March 14). COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION.

By: X. Xu n & Y. Zhang n

author keywords: Machine learning; Neural network; Palladium; Platinum; Price forecasting; Time series
Source: Web Of Science
Added: April 15, 2024

2022 article

Coking coal futures price index forecasting with the neural network

Xu, X., & Zhang, Y. (2022, April 13). MINERAL ECONOMICS.

By: X. Xu n & Y. Zhang n

author keywords: Coking coal; Price forecasting; Time series; Neural network; Machine learning
TL;DR: This study explores usefulness of the nonlinear autoregressive neural network for this forecasting problem in a dataset of daily closing prices of the coking coal futures traded in China Dalian Commodity Exchange during January 4, 2016–December 31, 2020. (via Semantic Scholar)
Source: Web Of Science
Added: April 25, 2022

2022 article

Contemporaneous causality among one hundred Chinese cities

Xu, X., & Zhang, Y. (2022, January 23). EMPIRICAL ECONOMICS.

By: X. Xu n & Y. Zhang n

author keywords: Housing price; Vector error correction model; Directed acyclic graph; Linear non-Gaussian acyclic model; PC algorithm
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: January 31, 2022

2022 journal article

Disordered MgB2 superconductor critical temperature modeling through regression trees

PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS, 597.

By: Y. Zhang n & X. Xu n

author keywords: Superconductor; Regression tree model; Critical temperature; Room temperature resistivity
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: June 13, 2022

2022 journal article

Predicting the superconducting transition temperature and relative resistance ratio in YBa2Cu3O7 films

PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS, 592.

By: Y. Zhang n & X. Xu n

author keywords: Superconductor; Critical temperature; YBCO; Multiple linear regression; Pulsed laser deposition
Source: Web Of Science
Added: January 10, 2022

2021 journal article

Machine learning modeling of metal surface energy

MATERIALS CHEMISTRY AND PHYSICS, 267.

By: Y. Zhang n & X. Xu n

author keywords: Gaussian process regression; Lattice parameters; Pure metals; Surface energy
TL;DR: The Gaussian process regression model is accurate and stable that contributes to fast estimations of surface energy of various metals at low cost. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: July 6, 2021

2021 article

Modeling and prediction of lattice parameters of binary spinel compounds (AM(2)X(4)) using support vector regression with Bayesian optimization

Alade, I. O., Zhang, Y., & Xu, X. (2021, August 3). NEW JOURNAL OF CHEMISTRY.

By: I. Alade*, Y. Zhang n & X. Xu n

TL;DR: The lattice constants of spinel compounds AM2X4 are correlated with the constituent elemental properties using support vector regression (SVR) optimized with Bayesian optimization. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 9, 2021

2009 journal article

Two-Phase Interleaved Critical Mode PFC Boost Converter With Closed Loop Interleaving Strategy

IEEE TRANSACTIONS ON POWER ELECTRONICS, 24(12), 3003–3013.

By: X. Xu n, W. Liu n & A. Huang n

author keywords: Boost; critical mode (CRM); interleaving; power factor correction (PFC); two phase
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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