An Empirical Risk Functional to Improve Learning in a Neuro-Fuzzy Classifier

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

Volumn 34, Issue 1, 2004, Pages 725-731

  Castellano, Giovanna ^a   Fanelli, Anna M ^a   Mencar, Corrado ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

Classification error; Empirical risk functional; Gradient based learning; Misclassification rate; Neuro fuzzy classifier

Indexed keywords

APPROXIMATION THEORY; ERROR ANALYSIS; FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PATTERN RECOGNITION; STATISTICAL METHODS; VECTORS;

CLASSIFICATION ERRORS; EMPIRICAL RISK FUNCTIONAL; GRADIENT BASED LEARNING; MISCLASSIFICATION RATE; NEURO-FUZZY CLASSIFIERS;

FUZZY CONTROL;

EID: 0742324888     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2003.811291     Document Type: Article

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