An eNose algorithm for identifying chemicals and determining their concentration

• Published in: Sensors and actuators. B, Chemical Vol. 93; no. 1; pp. 77 - 83
• Main Authors: Carmel, L., Sever, N., Lancet, D., Harel, D.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-08-2003
• Subjects: Classification; Concentration estimation; Electronic noses; Hopfield algorithm; Identification; Reject option; Electronic noses; Identification; Concentration estimation; Hopfield algorithm; Reject option; Classification
• ISSN: 0925-4005; 1873-3077
• DOI: 10.1016/S0925-4005(03)00246-6

We propose an algorithm for use with multisensor systems that is capable of the following: (a) identify an analyte independently of its concentration; (b) estimate the concentration of the analyte, even if the system was not previously exposed to this concentration; (c) tell when an analyte is of a chemical type not previously presented to the system. The algorithm, based upon recent work of Hopfield, uses the multiplicity of sensors explicitly, and is intuitive and easy to implement. We have tested it against real data, and it exhibits high quality performance.