Autor: Szpakowski, A. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Gas Sensing Supported by Pattern Recognition
Autorzy:: Tyszkiewicz, C.
Szpakowski, A.
Pustelny, T.
Powiązania:: https://bibliotekanauki.pl/articles/1807758.pdf
Data publikacji:: 2009-09
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 02.50.Sk
07.07.Df
84.35.+i
Opis:: The system composed of the array of eight semiconductor, chemoresistive gas sensors was used for the classification of hydrogen, methane and carbon oxide gaseous samples. The classification task was performed by pattern recognition methods applied to the multivariate response of the array. The pattern recognition scheme used for classification uses a feature subset selection algorithm coupled with an objective function designed for clustering and a multilayer perceptron classifier.
Źródło:: Acta Physica Polonica A; 2009, 116, 3; 419-421
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Multivariate Analysis in Gas Sensing Applications
Autorzy:: Szpakowski, A.
Tyszkiewicz, C.
Pustelny, T.
Powiązania:: https://bibliotekanauki.pl/articles/1811555.pdf
Data publikacji:: 2008-12
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 02.50.Sk
07.07.Df
Opis:: In gas sensing applications we often use sensors which have poor selectivity. Such sensors are mature, cheap devices with simple application circuits. Unfortunately, their cross sensitivity greatly restricts their usefulness when used in systems which employs univariate analysis. One method which allows to overcome this difficulty is utilization of multivariate analysis methods applied to the response from the group of such non-selective sensors. This work presents the multivariate, pattern recognition system utilized to process the response of an array of non-selective semiconductor sensors to obtain the qualitative information.
Źródło:: Acta Physica Polonica A; 2008, 114, 6A; A-239-A-242
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

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

Informacja