Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation

DOI10.1016/J.FSS.2011.05.015zbMath1234.93066OpenAlexW2050104415MaRDI QIDQ410753

Chia-Feng Juang, Yang-Yin Lin, Ren-Bo Huang

Publication date: 3 April 2012

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

Full work available at URL: https://doi.org/10.1016/j.fss.2011.05.015

zbMATH Keywords

neuro-fuzzy systemsinterval-valued fuzzy setsrecurrent fuzzy systemsfuzzy hardwarerecurrent fuzzy neural networks

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

Interval type-2 fuzzy neural networks with asymmetric MFs based on the twice optimization algorithm for nonlinear system identification ⋮ Fuzzy Elman wavelet network: applications to function approximation, system identification, and power system control ⋮ Single-hidden-layer fuzzy recurrent wavelet neural network: applications to function approximation and system identification

Cites Work

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• Interval-valued fuzzy sets constructed from matrices: application to edge detection
• The concept of a linguistic variable and its application to approximate reasoning. III
• NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches
• Issues concerning the analysis and implementation of a class of fuzzy controllers

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