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Neural network for AES spectra peak base background removalBelič, Igor, 1960- ; Poniku, Besnik ; Jenko, Monika, metalurginjaOne of the constituent elements in Auger electron spectroscopy (AES) spectra that make their automatic analysis next to impossible is the background. To overcome this obstade and enable further ... processing, the background removal stage must provide the clear enough data for the techniques capable of automatically extracting the requested information from the AES spectra. It is also known that the background in AES spectra contains further information regarding the composition of the sample studied. Thus, although removed, this background should not be disregarded. In our work, the neural networks for data modeling or background function approximation were used. Neural networks were used for the determination of the general shape of the background in AES spectra. Neural networks are model-less approximators, meaning that they are capable of accomplishing the approximation tasks regardiess of any prior knowledge on the nature of the modeled system. According to our analysis, three distinctive parts of the background in the spectra were proposed. One of them is the so-called peak base. The use of the neural network for the substraction of the peak base is described further in this article.Source: European applications of surface and interface analysis ECASIA'11 (Vol. 44, spec. iss., 2012, str. 1141-1146)Type of material - conference contributionPublish date - 2012Language - englishCOBISS.SI-ID - 923818
Author
Belič, Igor, 1960- |
Poniku, Besnik |
Jenko, Monika, metalurginja
Topics
AES spectra |
neural networks |
modelling |
background subraction |
spectra analysis
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source: European applications of surface and interface analysis ECASIA'11 (Vol. 44, spec. iss., 2012, str. 1141-1146)
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Belič, Igor, 1960- | 03975 |
Poniku, Besnik | 31396 |
Jenko, Monika, metalurginja | 05675 |
Source: Personal bibliographies
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