Improving the robustness of data-driven fuzzy systems with regularization

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2008, Pages 703-709

  Lughofer, Edwin ^a   Kindermann, Stefan ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

Consequent parameters; Data driven (evolving) modelling; High dimensional real world data sets; Lakagi sugeno fuzzy models; Regularization

Indexed keywords

CURVE FITTING; FEEDBACK CONTROL; FUZZY LOGIC; FUZZY SYSTEMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LEARNING SYSTEMS;

CONSEQUENT PARAMETERS; DATA-DRIVEN (EVOLVING) MODELLING; HIGH-DIMENSIONAL REAL-WORLD DATA SETS; LAKAGI-SUGENO FUZZY MODELS; REGULARIZATION;

LEARNING ALGORITHMS;

EID: 55249106916     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630446     Document Type: Conference Paper

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