An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit

DOI10.1016/J.INS.2022.03.060OpenAlexW4220975527MaRDI QIDQ6199773

Yuting Sun, Zichen Zhang, Shifei Ding, Lili Guo

Publication date: 28 February 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.03.060

zbMATH Keywords

cloud theoryensemble empirical mode decomposition (EEMD)gated recurrent unit (GRU)salp swarm algorithm (SSA)twin support vector regression (TWSVR)

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Nonparallel hyperplane support vector machine for binary classification problems
• TWSVR: regression via twin support vector machine
• MLTSVM: a novel twin support vector machine to multi-label learning
• TSVR: an efficient twin support vector machine for regression
• Support-vector networks
• A novel perspective on multiclass classification: regular simplex support vector machine
• Fuzzy Twin Support Vector Machines for Pattern Classification
• Adaptive denoising algorithm using peak statistics-based thresholding and novel adaptive complementary ensemble empirical mode decomposition

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