On design of flexible neuro-fuzzy systems for nonlinear modelling

DOI10.1080/03081079.2013.798912zbMath1268.93016OpenAlexW2518467327MaRDI QIDQ5326161

Olga Rebrova, Krzysztof Cpałka, Leszek Rutkowski, Robert K. Nowicki

Publication date: 31 July 2013

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

Full work available at URL: https://doi.org/10.1080/03081079.2013.798912

zbMATH Keywords

fuzzy logicneuro-fuzzy systemstriangular normsaggregation operatorsnonlinear modelingevolutionary strategyevolutionary strategy \((\mu,\lambda)\)

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Related Items (4)

A new approach to nonlinear modelling of dynamic systems based on fuzzy rules ⋮ On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions ⋮ Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks ⋮ Membership Functions for Fuzzy Focal Elements

Cites Work

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• Feedforward neural networks for compound signals
• Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction
• On fuzzy implication operators
• Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing

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