TSK fuzzy function approximators: Design and accuracy analysis

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

Volumn 42, Issue 3, 2012, Pages 702-712

  Sonbol, Assem H ^a   Sami Fadali, M ^b   Jafarzadeh, Saeed ^b  

^a Power Generation Engineering and Services Company   (Egypt)

^b University of Nevada   (United States)

Author keywords

Approximation error bound; fuzzy Takagi Sugeno Kang (TSK) systems; modeling

Indexed keywords

ACCURACY ANALYSIS; APPROXIMATION ERRORS; APPROXIMATORS; ERROR BOUND; EXPERIMENTAL DATA; FUZZY FUNCTION; INPUT-OUTPUT; NEW RESULTS; NUMERICAL EXAMPLE; PHYSICAL SYSTEMS; SUFFICIENT CONDITIONS; TAKAGI-SUGENO-KANG FUZZY SYSTEM; TAKAGI-SUGENO-KANG SYSTEMS; UNIVERSAL APPROXIMATORS; UPPER BOUND;

DYNAMIC RESPONSE; FUZZY SYSTEMS; MODELS;

ERROR ANALYSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; FUZZY LOGIC; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; FUZZY LOGIC; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 84861185834     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2011.2174151     Document Type: Article

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