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Métodos de variável instrumental fuzzy para identificação de sistemas
(Sociedade Brasileira de Automática, 2007)
Fuzzy instrumental variable approach for nonlinear discrete-time systems identification in a noisy environment
(Elsevier Science BvAmsterdamHolanda, 2009)
A highly adaptive algorithm for fuzzy modelling of systems
(World Scientific Publ Co Pte LtdSingaporeSingapura, 1998)
Hybrid-fuzzy modeling and identification
(Elsevier, 2014)
In this paper a class of hybrid-fuzzy models is presented, where binary membership functions are used tocapture the hybrid behavior. We describe a hybrid-fuzzy identification methodology for non-linear hybridsystems with ...
An IV-QR algorithm for neuro-fuzzy multivariable online identification
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
Investigating fuzzy methods for multilingual speaker identification
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO, 2020-08-27)
Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting
(Elsevier Science BvAmsterdamHolanda, 2011)
Multivariable Gaussian Evolving Fuzzy Modeling System
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2011)
A new method for identification of fuzzy models with controllability constraints
(Elsevier Ltd, 2018)
Takagi–Sugeno fuzzy models are cataloged as universal approximators and have been proven to be a powerful tool for the prediction of systems. However, in certain cases they may fail to inherit the main properties of a ...