A new approach to fuzzy modeling of nonlinear dynamic systems with noise: Relevance vector learning mechanism

IEEE Transactions on Fuzzy Systems

Volumn 14, Issue 2, 2006, Pages 222-231

  Kim, Jongcheol ^a   Suga, Yasuo ^a   Won, Sangchul ^b  

^a KEIO UNIVERSITY   (Japan)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Fuzzy inference system (FIS); Kernel function; Nonlinear dynamic system with noise; Relevance vector machine

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; PROBABILISTIC LOGICS; STATISTICAL METHODS;

FUZZY INFERENCE SYSTEM (FIS); FUZZY MODELING; KERNEL FUNCTION; NONLINEAR DYNAMIC SYSTEMS; RELEVANCE VECTOR MACHINE (RVM);

FUZZY CONTROL;

EID: 33645833678     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2005.864083     Document Type: Article

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