Zichen Zhang
Affiliations:- China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
- Jiangsu Normal University, School of Computer Science and Technology, Xuzhou, China (former)
According to our database1,
Zichen Zhang
authored at least 19 papers
between 2016 and 2025.
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Bibliography
2025
Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting.
Knowl. Based Syst., 2025
2024
Inf. Sci., 2024
2023
Maximum density minimum redundancy based hypergraph regularized support vector regression.
Int. J. Mach. Learn. Cybern., May, 2023
2022
Hypergraph based semi-supervised support vector machine for binary and multi-category classifications.
Int. J. Mach. Learn. Cybern., 2022
An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit.
Inf. Sci., 2022
Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm.
Neurocomputing, 2022
2021
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads.
Knowl. Based Syst., 2021
Appl. Soft Comput., 2021
2020
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task.
Neurocomputing, 2020
Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm.
IEEE Access, 2020
2019
A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems.
Eng. Appl. Artif. Intell., 2019
2018
Randomness-driven global particle swarm optimisation for unconstrained optimisation problems.
Int. J. Wirel. Mob. Comput., 2018
2016
A Hybrid Method Based on Cuckoo Search and Krill Herd Optimization with Differential Evolution.
Proceedings of the 13th Web Information Systems and Applications Conference, 2016
Proceedings of the 13th Web Information Systems and Applications Conference, 2016