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 journalConference articlepeer-review

25 Scopus citations


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 languageAmerican English
Pages (from-to)77-83
Number of pages7
JournalSensors and Actuators, B: Chemical
Issue number1-3
StatePublished - 1 Aug 2003
Externally publishedYes
EventProceedings of the Ninth International Meeting on Chemical Engineering - Boston, MA, United States
Duration: 7 Jul 200310 Jul 2003


  • Classification
  • Concentration estimation
  • Electronic noses
  • Hopfield algorithm
  • Identification
  • Reject option


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