Title :
Mimicking biology: applications of cognitive systems to electronic noses
Author_Institution :
Battelle Pacific Northwest Lab., Richland, WA, USA
Abstract :
The electronic nose draws its inspiration from biology. Both the electronic nose and the biological olfactory system consist of an array of chemical sensing elements and a pattern recognition system. This paper reviews the basic concepts of electronic noses and their relationship to biological olfaction. Different approaches to chemical data analysis including statistical methods, standard artificial neural network approaches, and those based on advanced biological models of the olfaction are described. Finally, a prototype system is reviewed
Keywords :
array signal processing; cognitive systems; computerised instrumentation; gas sensors; neural nets; pattern recognition; statistical analysis; artificial neural network approaches; biology; chemical data analysis; chemical sensing element array; cognitive systems; electronic noses; olfactory system; pattern recognition system; statistical methods; Artificial neural networks; Biological system modeling; Chemical analysis; Chemical elements; Data analysis; Electronic noses; Olfactory; Pattern recognition; Statistical analysis; Systems biology;
Conference_Titel :
Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5665-9
DOI :
10.1109/ISIC.1999.796696