Multiclass classification based on extended support vector data description

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

Volumn 39, Issue 5, 2009, Pages 1206-1216

  Mu, Tingting ^a   Nandi, Asoke K ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Artificial neural networks; Data mining; Feature extraction; Kernel; Multiclass classification; Nearest neighbor; Negative samples; Rolling bearings; Spherically shaped boundary; Support vector data description (SVDD); Support vector machines; target class; Training

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; KERNEL; MULTICLASS CLASSIFICATION; NEAREST NEIGHBOR; NEGATIVE SAMPLES; ROLLING BEARINGS; SPHERICALLY SHAPED BOUNDARY; SUPPORT VECTOR DATA DESCRIPTION (SVDD); TARGET CLASS; TRAINING;

BACKPROPAGATION; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DATA DESCRIPTION; DISCRIMINANT ANALYSIS; ELECTRIC FAULT LOCATION; FAULT DETECTION; IMAGE RETRIEVAL; INFORMATION MANAGEMENT; MINING; MULTILAYER NEURAL NETWORKS; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS); ROLLING; SUPPORT VECTOR MACHINES; TARGETS; VECTORS;

FEATURE EXTRACTION;

EID: 67649408814     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2009.2013962     Document Type: Article

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