Pattern classification using an olfactory model with PCA feature selection in electronic noses: Study and application

Sensors

Volumn 12, Issue 3, 2012, Pages 2818-2830

  Fu, Jun ^a   Huang, Canqin ^a   Xing, Jianguo ^a   Zheng, Junbao ^b  

^a ZHEJIANG GONGSHANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Artificial neural network; Electronic nose; Feature selection; Olfactory model; Pattern classification; Principal component analysis

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; ELECTRONICS; ODOR; PRINCIPAL COMPONENT ANALYSIS; TEA; THEORETICAL MODEL; WINE;

ALGORITHMS; ELECTRONICS; MODELS, THEORETICAL; ODORS; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; TEA; WINE;

EID: 84858977160     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120302818     Document Type: Article

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