Identification of neurofuzzy models using GTLS parameter estimation

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 39, Issue 5, 2009, Pages 1121-1133

  Jakubek, Stefan ^a   Hametner, Christoph ^b  

^a AVL LIST GMBH   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Errors in variables methods; Fuzzy models; Generalized total least squares (GTLS); Nonlinear system identification

Indexed keywords

AUTOMOTIVE APPLICATIONS; ERRORS-IN-VARIABLES METHODS; EXPECTATION-MAXIMIZATION ALGORITHMS; FUZZY MODELS; GENERALIZED TOTAL LEAST SQUARES; GENERALIZED TOTAL LEAST SQUARES (GTLS); ILLUSTRATIVE EXAMPLES; INPUT CHANNELS; LOCAL MODEL; LOCAL MODEL NETWORKS; LOCAL PARAMETERS; MEASURED DATA; NEURO-FUZZY MODEL; NEURO-FUZZY NETWORK; NEUROFUZZY SYSTEM; NON-LINEAR MODEL; NONLINEAR SYSTEM IDENTIFICATION; PARAMETER ESTIMATE;

ALGORITHMS; CURVE FITTING; ERRORS; LEAST SQUARES APPROXIMATIONS; METAL ANALYSIS; NEURAL NETWORKS; NONLINEAR ANALYSIS; NONLINEAR SYSTEMS;

PARAMETER ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; FUZZY LOGIC; METHODOLOGY; NONLINEAR SYSTEM; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FUZZY LOGIC; MODELS, STATISTICAL; MODELS, THEORETICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED;

EID: 67649452127     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2009.2013132     Document Type: Article

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