Referenced Items are not available for this document.
A novel chemical micro-gas sensor array composed of polyaniline (PANI) and its nanocomposite thin film was fabricated for NH3, CO and H2 gas classification. Titanium dioxide (TiO2), indium oxide (In2O3) and multi-walled carbon nanotube (PANI/MWNT) combined with PANI were chosen as the sensing materials by the step-clustering analysis. The normalization method was developed to eliminate the dispersion of the array data. Probabilistic neuron network (PNN) was designed and trained with the processed data, and the different discrimination results were discussed under the different spread constant (SP). The accurate classification result was achieved when SP was set as 0.05 or 0.1.
Published in:
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Date of Conference: 23-25 Oct. 2009
- Page(s):
- 5 - 8
- E-ISBN :
- 978-1-4244-5206-4
- Print ISBN:
- 978-1-4244-5204-0
- INSPEC Accession Number:
- 11024700
- Conference Location :
- Chengdu
- Digital Object Identifier :
- 10.1109/ICACIA.2009.5361166
- Product Type:
- Conference Publications
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