Deterministic approach to robust adaptive learning of fuzzy models

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

Volumn 36, Issue 4, 2006, Pages 767-780

  Kumar, Mohit ^a   Stoll, Regina ^a   Stoll, Norbert ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

Fuzzy identification; Gradient descent; H optimality; Interpretability; Least squares estimation

Indexed keywords

ADAPTIVE SYSTEMS; FUZZY SETS; GRADIENT METHODS; INFERENCE ENGINES; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; ROBUSTNESS (CONTROL SYSTEMS); TIME SERIES ANALYSIS; UNCERTAIN SYSTEMS;

FUZZY IDENTIFICATION; LEAST SQUARES ESTIMATION; SUGENO-TYPE FUZZY INFERENCE SYSTEM;

LEARNING SYSTEMS;

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

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; FUZZY LOGIC; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 33746844884     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2006.870625     Document Type: Article

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