Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine

Sensors and Actuators, B: Chemical

Volumn 174, Issue , 2012, Pages 114-125

  Zhang, Lei ^a   Tian, Fengchun ^a   Nie, Hong ^b   Dang, Lijun ^a   Li, Guorui ^a   Ye, Qi ^a   Kadri, Chaibou ^a  

^a CHONGQING UNIVERSITY   (China)

^b Academy of Metrology and Quality Inspection   (China)

Author keywords

Classification; Electronic nose; Fisher linear discrimination analysis; Hybrid support vector machine; Multi class problem

Indexed keywords

BACKPROPAGATION LEARNING; DATA SETS; ELECTRONIC NOSE; EUCLIDEAN DISTANCE; FISHER LINEAR DISCRIMINATION; HYBRID SUPPORT; INDOOR AIR; LABORATORY STUDIES; MULTI-CLASS PROBLEMS; MULTICLASS CLASSIFICATION PROBLEMS; MULTILAYER PERCEPTRON NEURAL NETWORKS; NITROGEN DIOXIDES; SIMPLIFIED FUZZY ARTMAP;

AIR QUALITY; BACKPROPAGATION; BENZENE; CARBON MONOXIDE; CLASSIFICATION (OF INFORMATION); FACE RECOGNITION; NITROGEN OXIDES; TOLUENE;

SUPPORT VECTOR MACHINES;

EID: 84868140991     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2012.07.021     Document Type: Article

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