Classification of data from electronic nose using relevance vector machines

Sensors and Actuators, B: Chemical

Volumn 140, Issue 1, 2009, Pages 143-148

  Wang, Xiaodong ^a   Ye, Meiying ^a   Duanmu, C J ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Classification; Electronic nose; Gas sensors; Principal component analysis; Relevance vector machines; Support vector machines

Indexed keywords

CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION OF DATA; CROSS VALIDATION; ELECTRONIC NOSE; GAS SENSORS; KERNEL FUNCTION; KERNEL PARAMETER; MULTICLASS CLASSIFICATION PROBLEMS; PARAMETER SETTING; PRINCIPAL COMPONENTS; RELEVANCE VECTOR MACHINE; RELEVANCE VECTOR MACHINES; TEST DATA; TWO-CLASS CLASSIFICATION PROBLEMS;

ARTIFICIAL ORGANS; CLASSIFICATION (OF INFORMATION); FACE RECOGNITION; GAS DETECTORS; GEARS; IMAGE RETRIEVAL; MULTILAYER NEURAL NETWORKS; SENSORS; SUPPORT VECTOR MACHINES; VECTORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 67349097074     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2009.04.030     Document Type: Article

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