Data-driven evolving fuzzy systems using eTS and FLEXFIS: Comparative analysis

International Journal of General Systems

Volumn 37, Issue 1, 2008, Pages 45-67

  Angelov, Plamen ^a   Lughofer, Edwin ^b  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

Adaptation of parameters; Evolving Takagi Sugeno fuzzy systems; Incremental learning; Online identification; Rule learning

Indexed keywords

INTERNET; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION;

ADAPTATION OF PARAMETERS; INCREMENTAL LEARNING; ONLINE IDENTIFICATION; OPEN-LOOP CONTROL; RULE LEARNING; TAKAGI-SUGENO FUZZY SYSTEMS;

FUZZY SYSTEMS;

EID: 36448929160     PISSN: 03081079     EISSN: 15635104     Source Type: Journal    
DOI: 10.1080/03081070701500059     Document Type: Article

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