Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques

DOI10.1016/J.INS.2020.07.008OpenAlexW3044797745MaRDI QIDQ2053872

Congcong Zhang, Sung-Kwun Oh, Zun Wei Fu

Publication date: 30 November 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.07.008

zbMATH Keywords

regression problemsenhanced topologyheterogeneous neuronspolynomial-based ensemble fuzzy neural networkssynergy of techniques

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

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Convergent Newton method and neural network for the electric energy usage prediction ⋮ Nonstationary fuzzy neural network based on fcmnet clustering and a modified CG method with Armijo-type rule

Cites Work

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• Boosting of granular models
• A probabilistic learning algorithm for robust modeling using neural networks with random weights
• The design of self-organizing polynomial neural networks
• T-S fuzzy-based sliding mode controller design for discrete-time nonlinear model and its applications
• Springer Handbook of Computational Intelligence

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