DocumentCode :
1817520
Title :
Overview of electronic nose algorithms
Author :
Keller, Paul E.
Author_Institution :
Battelle Pacific Northwest Lab., Richland, WA, USA
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
309
Abstract :
The electronic nose is a natural match for physiologically motivated odor analysis. Both the olfactory system and the electronic nose consist of an array of chemical sensing elements and a pattern recognition system. This paper reviews different approaches to chemical data analysis (i.e., chemometrics) found in both commercial and experimental electronic nose systems. The electronic nose algorithms discussed include those based on statistical methods, standard artificial neural network approaches, and those based on advanced biological models of the olfactory system
Keywords :
biology computing; chemioception; gas sensors; neural nets; pattern recognition; physiological models; statistical analysis; advanced biological models; artificial neural network approaches; chemical data analysis; chemical sensing element array; chemometrics; electronic nose algorithms; olfactory system; pattern recognition system; physiologically motivated odor analysis; statistical methods; Biological system modeling; Biological systems; Chemical elements; Chemical sensors; Databases; Electronic noses; Olfactory; Pattern recognition; Sensor arrays; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.831508
Filename :
831508
Link To Document :
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