Dubitzky, W, Mariotti, D, Hyland, M and McLaughlin, JAD (1998) A neural network approach to plasma emission interpretation. In: International Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering, Las Vegas, USA. UNSPECIFIED. 4 pp. [Conference contribution]
Full text not available from this repository.
Artificial or Electronic Noses mimic the gas-detection function of biological olfactory systems. They have been used in a wide variety of applications ranging from testing of fragrances, through analysis of human breath, to the detection of banned drugs and explosives. An artificial nose system is generally composed of a sensing subsystem anda pattern recognition subsystem. More recently, Plasma Emission Spectroscopy (PES) has been proposed as an approach to building low-selectivity sensing subsystems. Due to the complexities of the underlying physical phenomena in PES, the resulting spectra are difficult to interpret. This paper presents an artificial neural network approach to plasma emission interpretation.
|Item Type:||Conference contribution (Paper)|
|Faculties and Schools:||Faculty of Computing & Engineering|
|Research Institutes and Groups:||Engineering Research Institute|
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
|Deposited By:||Professor Davide Mariotti|
|Deposited On:||14 Oct 2009 13:51|
|Last Modified:||15 Jun 2011 09:52|
Repository Staff Only: item control page