Assessing the ability to predict human percepts of odor quality from the detector responses of a conducting polymer composite-based electronic nose

Sensors and Actuators, B: Chemical

Volumn 72, Issue 2, 2001, Pages 149-159

  Burl, Michael C ^b   Doleman, Brett J ^a   Schaffer, Amanda ^a,b   Lewis, Nathan S ^a  

^a 127 72 Noyes Laboratory   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITE MATERIALS; CONDUCTIVE PLASTICS; DETECTORS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; ODORS; REGRESSION ANALYSIS;

CONDUCTING POLYMER COMPOSITES; ELECTRONIC NOSE; FEATURE SELECTION; ODOR QUALITY;

CHEMICAL SENSORS;

EID: 0035148066     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(00)00645-6     Document Type: Article

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