Stochastic configuration networks with improved supervisory mechanism

DOI10.1016/j.ins.2024.120885zbMATH Open1544.93012MaRDI QIDQ6564926

Jing Nan, Wei Dai, Dianhui Wang

Publication date: 1 July 2024

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

zbMATH Keywords

industrial applicationsuniversal approximation propertystochastic configuration networkssupervisory mechanism

Mathematics Subject Classification ID

Hierarchical systems (93A13) Stochastic systems in control theory (general) (93E03) Networked control (93B70)

Cites Work

• Robust stochastic configuration networks with kernel density estimation for uncertain data regression
• Some remarks on greedy algorithms
• Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression
• A further study on the inequality constraints in stochastic configuration networks
• Insights into randomized algorithms for neural networks: practical issues and common pitfalls
• Wavelet neural networks: a practical guide
• Generating random weights and biases in feedforward neural networks with random hidden nodes
• An improved stochastic configuration network for concentration prediction in wastewater treatment process

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