Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes.

DOI10.1016/S0165-0114(03)00119-2zbMath1081.68085OpenAlexW2039814708MaRDI QIDQ1430886

Chia-Feng Juang

Publication date: 27 May 2004

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(03)00119-2

zbMATH Keywords

Neuro-fuzzy systemsRecurrent neural networkAdaptive noise cancellationDynamic plant controlFlexible partition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches ⋮ Fuzzy systems design by clustering-aided ant colony optimization for plant control ⋮ Incremental learning of dynamic fuzzy neural networks for accurate system modeling

Cites Work

• Self-organization and associative memory
• Approximation of discrete-time state-space trajectories using dynamic recurrent neural networks
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes.