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Journal of Materials Science

, Volume 29, Issue 24, pp 6529–6532 | Cite as

Zinc oxide thin-film chemical sensors in conjunction with neural network pattern recognition for trimethylamine and dimethylamine gases

  • H. Nanto
  • S. Tsubakino
  • T. Kawai
  • M. Ikeda
  • S. Kitagawa
  • M. Habara
Papers

Abstract

Transient response curves for exposure to several gases are observed using zinc oxide (ZnO) thin-film gas sensors. It is found that an aluminium-doped ZnO (ZnO∶:Al) sensor exhibits a high sensitivity and an excellent selectivity for amine gases. In order to discriminate between gas species such as trimethylamine (TMA), dimethylamine (DMA) and other gases pattern recognition analysis using a neural network is carried out using parameters which characterize the transient responses of the sensor for exposure to gases. The recognition probability of the neural network is 90% for TMA and DMA with constant concentration and is 100% for TMA and DMA with different concentrations, except for a concentration of 1 p.p.m.

Keywords

Neural Network Transient Response Zinc Oxide Trimethylamine Dimethylamine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Chapman & Hall 1994

Authors and Affiliations

  • H. Nanto
    • 1
  • S. Tsubakino
    • 1
  • T. Kawai
    • 1
  • M. Ikeda
    • 1
  • S. Kitagawa
    • 1
  • M. Habara
    • 1
  1. 1.Electron Device System Research LaboratoryKanazawa Institute of TechnologyIshikawaJapan

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