Quantitative analysis of multiple kinds of volatile organic compounds using hierarchical models with an electronic nose

Sensors and Actuators, B: Chemical

Volumn 161, Issue 1, 2012, Pages 578-586

  Gao, Daqi ^a   Liu, Fangjun ^a   Wang, Ji ^a  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Discrimination; Electronic nose; Hierarchical models; Odors; Quantification

Indexed keywords

DISCRIMINATION; DISCRIMINATION MODEL; DIVIDE AND CONQUER; ELECTRONIC NOSE; EUCLIDEAN DISTANCE; GAUSSIANS; GENERALIZATION PERFORMANCE; HIERARCHICAL MODEL; LOCAL GENERALIZATION; MAHALANOBIS DISTANCES; MULTI-LAYER PERCEPTRONS; MULTIVARIATE LINEAR REGRESSIONS; MULTIVARIATE QUADRATICS; NEAREST NEIGHBOR CLASSIFIER; PARTIAL LEAST SQUARES REGRESSION; POLYNOMIAL KERNELS; QUANTIFICATION; QUANTIFICATION MODEL; STRUCTURE COMPLEXITY; TIME COMPLEXITY;

ARTIFICIAL ORGANS; ODORS; PATTERN RECOGNITION SYSTEMS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; VOLATILE ORGANIC COMPOUNDS;

HIERARCHICAL SYSTEMS;

EID: 84856229616     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2011.11.003     Document Type: Article

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