DocumentCode
2429441
Title
Artificial neural network based e-nose and their analytical applications in various field
Author
Jamal, Maria ; Khan, M.R. ; Imam, S.A. ; Jamal, Arif
Author_Institution
ECE Dept., GGSIPU, Delhi, India
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
691
Lastpage
698
Abstract
A brief and historical overview of research and development in the field of artificial neural network based electronic nose system is presented. Electronic-nose devices have received considerable attention in the field of sensor technology during the past twenty years, largely due to the discovery of numerous applications derived from research in diverse fields of applied sciences. Electronic/artificial noses are being developed as systems for the automated detection and classification of odors, vapors, and gases. An electronic nose is generally composed of a chemical sensing system (e.g., sensor array or spectrometer) and a pattern recognition system (e.g., artificial neural network). We are developing electronic noses for the automated identification of volatile chemicals for environmental, medical applications, commercial industries, including the agricultural, biomedical, cosmetics, food, manufacturing, military, pharmaceutical, regulatory applications and various scientific research fields. This paper is a review of the major electronic nose technologies, developed since this specialized field was born and became prominent in the mid 1980s, and a summarization of some of the more important and useful applications that have been of greatest benefit to man.
Keywords
chemical engineering computing; electronic noses; neural nets; pattern recognition; artificial neural network based e-nose; automated volatile chemicals identification; chemical sensing system; electronic nose system; pattern recognition system; sensor technology; Arrays; Artificial neural networks; Chemicals; Electronic noses; Instruments; Temperature sensors; Artificial Neural Network; Back propagation algorithm; e-nose; multilayer Feed-forward network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707409
Filename
5707409
Link To Document