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Hybrid-fuzzy modeling and identification
(2014)
In this paper a class of hybrid-fuzzy models is presented, where binary membership functions are used to capture the hybrid behavior. We describe a hybrid-fuzzy identification methodology for non-linear hybrid systems with ...
Identificação fuzzy-multimodelos para sistemas não lineares
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2010-03-16)
This paper presents a new multi-model technique of dentification in ANFIS for nonlinear systems. In this technique, the structure used is of the fuzzy Takagi-Sugeno of which the consequences are local linear models that ...
Takagi-Sugeno Fuzzy Models in the Framework of Orthonormal Basis Functions
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
A fast learning algorithm for evolving neo-fuzzy neuron
(Elsevier Science BvAmsterdamHolanda, 2014)
Invertible singleton fuzzy models: Application to petroleum production control systems
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2018)
Evolving Possibilistic Fuzzy Modelling
(Taylor & Francis LtdAbingdon, 2017)
Adaptive Fuzzy C-regression Modeling For Time Series Forecasting
(ATLANTIS PRESSPARIS, 2015)