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Durham University

Research & business

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Publication details for Professor Andy Monkman

BARKER, PS, CHEN, JR, AGBOR, NE, MONKMAN, AP, MARS, P & PETTY, MC (1994). VAPOR RECOGNITION USING ORGANIC FILMS AND ARTIFICIAL NEURAL NETWORKS. Sensors And Actuators B-chemical 17(2): 143-147.
  • Publication type: Journal Article
  • ISSN/ISBN: 0925-4005
  • Keywords: ELECTRONIC NOSE; DISCRIMINATION

Author(s) from Durham

Abstract

Organic thin-film sensors based on the thermal evaporation and
dip-coating of polyaniline, and on the Langmuir-Blodgett deposition of
a vanadium porphyrin, have been fabricated. The d.c. electrical
resistances of the individual elements are found to exhibit different
changes on exposure to simple vapours (water, propanol, ethyl acetate
and acetone). These data have been used successfully to train an
artificial neural network, based on a back-propagation technique, to
recognize two of the vapours.