An information entropy-based fuzzy stochastic configuration network for robust data modeling

DOI10.1016/j.ins.2024.120689zbMATH Open1544.93439MaRDI QIDQ6556441

Jie Li, Hongxing Li, Fei Teng, Wen-Yan Song, De-Gang Wang

Publication date: 17 June 2024

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

zbMATH Keywords

incremental learningfuzzy systemsstochastic configuration networksmaximum correntropy criterionquantized minimum error entropy criterion

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Stochastic systems in control theory (general) (93E03) Networked control (93B70)

Cites Work

• Unnamed Item
• Robust stochastic configuration networks with kernel density estimation for uncertain data regression
• Multilayer feedforward networks are universal approximators
• Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression
• Insights into randomized algorithms for neural networks: practical issues and common pitfalls
• Correntropy: Properties and Applications in Non-Gaussian Signal Processing
• Information Theoretic Learning

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