Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2007, Pages

  Lughofer, Edwin ^a   Angelov, Plamen ^b   Zhou, Xiaowei ^b  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Data drift; Evolving fuzzy classifiers; Image classification framework; Incremental training; Process safety; Regression by indicator matrix; Single and multimodel architecture

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FOOD PROCESSING; FORECASTING; FUZZY LOGIC; FUZZY SETS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; KETONES; LABELING; LABELS; LAWS AND LEGISLATION; LEARNING SYSTEMS; SET THEORY;

CLASS LABELS; CLASSIFICATION FRAMEWORK; DATA DRIFT; DATA SETS; DATA STREAMING; EMPIRICAL ANALYSES; EVOLVING FUZZY CLASSIFIERS; FUZZY CLASSIFICATION MODELS; FUZZY CLASSIFICATIONS; FUZZY CLASSIFIERS; FUZZY MODEL; GAUSSIAN FUZZY SETS; IMAGE CLASSIFICATION FRAMEWORK; INCREMENTAL TRAINING; INTERNATIONAL CONFERENCES; MODEL ARCHITECTURE; MULTI MODELING; ON-LINE DATA; PREDICTION ACCURACY; PREDICTION QUALITY; PROCESS SAFETY; REGRESSION BY INDICATOR MATRIX; RULE WEIGHTS; SINGLE- AND MULTIMODEL ARCHITECTURE; ZERO-ORDER;

FUZZY SYSTEMS;

EID: 50249149884     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2007.4295393     Document Type: Conference Paper

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