- Tytuł:
- Pattern Recognition Applied to Analysis of Gas Sensors Array Data
- Autorzy:
-
Marczyński, P.
Szpakowski, A.
Tyszkiewicz, C.
Pustelny, T. - Powiązania:
- https://bibliotekanauki.pl/articles/1418023.pdf
- Data publikacji:
- 2012-11
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
02.50.Sk
07.07.Df - Opis:
- For an array of eight chemoresistive gas sensors a computer pattern recognition system was built. Multivariate data analysis was performed for measurements of three gases' dilutions: hydrogen $(H_2)$, methane $(CH_4)$, and carbon monoxide $(CO)$. The pattern recognition system included a feature subset selection algorithm involving PCA and objective function. Dimensionality reduction was applied to two kinds of patterns: three aforementioned gases and six different concentrations of hydrogen. For patterns of the three gases, classification tests were performed using k-NN algorithm and N-fold based validation method.
- Źródło:
-
Acta Physica Polonica A; 2012, 122, 5; 847-849
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł