Hybrid learning-based neuro-fuzzy inference system: a new approach for system modeling

DOI10.1080/00207720701747465zbMath1283.93162OpenAlexW2036663493MaRDI QIDQ5402746

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Publication date: 17 March 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720701747465

zbMATH Keywords

system modelingfuzzy inferencehybrid learningtime series identification and prediction

Mathematics Subject Classification ID

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Cites Work

• Neuro-fuzzy systems for function approximation
• Fuzzy control of unknown multiple-input-multiple-output plants
• Multilayer feedforward networks are universal approximators
• A hierarchical fuzzy-clustering approach to fuzzy modeling
• An equation for continuous chaos
• Optimization by random search with jumps
• Fuzzy identification of systems and its applications to modeling and control
• Constructing fuzzy graphs from examples

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