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Proceedings Paper

Application of cascade correlation learning network and tin oxide sensor arrays to the analysis of multicomponent gas mixtures
Author(s): Kazimierz Brudzewski
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Paper Abstract

This paper describes an approach for determining the individual analyte concentrations in a mixture of gases using array tin oxide sensors and cascade correlation learning network. In the present approach a small array of six semiconductor oxide (SnO2:Pd, Pt) sensors is used to recognize mixtures of air with four pollutants: carbon oxide, methane, propane/butane and methanol vapors. The cascade-correlation algorithm offers a reasonably small net, which is built automatically.

Paper Details

Date Published: 13 February 1997
PDF: 5 pages
Proc. SPIE 3054, Optoelectronic and Electronic Sensors II, (13 February 1997); doi: 10.1117/12.266703
Show Author Affiliations
Kazimierz Brudzewski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 3054:
Optoelectronic and Electronic Sensors II
Zdzislaw Jankiewicz; Henryk Madura, Editor(s)

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