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A neural network approach to plasma emission interpretation

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

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]

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Abstract

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)
ID Code:269
Deposited By:Dr Davide Mariotti
Deposited On:14 Oct 2009 14:51
Last Modified:15 Jun 2011 10:52

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