An eNose algorithm for identifying chemicals and determining their concentration

L. Carmel; N. Sever; D. Lancet; D. Harel

doi:10.1016/S0925-4005(03)00246-6

An eNose algorithm for identifying chemicals and determining their concentration

L. Carmel^*, N. Sever, D. Lancet, D. Harel

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

25 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	77-83
Number of pages	7
Journal	Sensors and Actuators, B: Chemical
Volume	93
Issue number	1-3
DOIs	https://doi.org/10.1016/S0925-4005(03)00246-6
State	Published - 1 Aug 2003
Externally published	Yes
Event	Proceedings of the Ninth International Meeting on Chemical Engineering - Boston, MA, United States Duration: 7 Jul 2003 → 10 Jul 2003

Keywords

Classification
Concentration estimation
Electronic noses
Hopfield algorithm
Identification
Reject option

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10.1016/S0925-4005(03)00246-6

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title = "An eNose algorithm for identifying chemicals and determining their concentration",

abstract = "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.",

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AU - Carmel, L.

AU - Sever, N.

AU - Lancet, D.

AU - Harel, D.

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N2 - 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.

AB - 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.

KW - Classification

KW - Concentration estimation

KW - Electronic noses

KW - Hopfield algorithm

KW - Identification

KW - Reject option

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JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

IS - 1-3

T2 - Proceedings of the Ninth International Meeting on Chemical Engineering

Y2 - 7 July 2003 through 10 July 2003

ER -

An eNose algorithm for identifying chemicals and determining their concentration

Abstract

Keywords

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