Application of cascade correlation learning network and tin oxide sensor arrays to the analysis of multicomponent gas mixtures

Kazimierz Brudzewski

doi:10.1117/12.266703

13 February 1997 Application of cascade correlation learning network and tin oxide sensor arrays to the analysis of multicomponent gas mixtures

Kazimierz Brudzewski

Author Affiliations +

Proceedings Volume 3054, Optoelectronic and Electronic Sensors II; (1997) https://doi.org/10.1117/12.266703
Event: Optoelectronic and Electronic Sensors II, 1996, Szczyrk, Poland

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.

Citation Download Citation

Kazimierz Brudzewski "Application of cascade correlation learning network and tin oxide sensor arrays to the analysis of multicomponent gas mixtures", Proc. SPIE 3054, Optoelectronic and Electronic Sensors II, (13 February 1997); https://doi.org/10.1117/12.266703

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