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