In: Contributions of the Astronomical Observatory Skalnaté Pleso, vol. 52, no. 3
M.s. Rabasovic - B.p. Marinkovic - D. Sevic
Detaily:
Rok, strany: 2022, 126 - 131
Jazyk: eng
Kľúčové slová:
Machine learning, Deep learning, Laser induced breakdown spectroscopy
URL originálneho zdroja: http://www.astro.sk/caosp/Eedition/Abstracts/2022/Vol_52/No_3/pp126-131_abstract.html
O článku:
The regression analysis of spectra of laser initiated electric discharge spark in atmosphere is presented here. Spectral images of optical emission of atmospheric plasma are obtained by a streak camera and integrated in time to obtain sample spectra of plasma with different apparent temperatures. We already have analyzed such spectra using principal component analysis and classification techniques. Now, we have advanced research through the ANN and deep learning technique. Namely, large set of measured spectra are used to train the artificial neural network to obtain the estimation of apparent plasma temperature. For machine learning approach to data analysis we use Solo+Mia software package (Version 9.0, Eigenvector Research Inc, USA).
Ako citovať:
ISO 690:
Rabasovic, M., Marinkovic, B., Sevic, D. 2022. Analysis of laser induced plasma plume in atmosphere using deep learning. In Contributions of the Astronomical Observatory Skalnaté Pleso, vol. 52, no.3, pp. 126-131. 1335-1842. DOI: https://doi.org/10.31577/caosp.2022.52.3.126
APA:
Rabasovic, M., Marinkovic, B., Sevic, D. (2022). Analysis of laser induced plasma plume in atmosphere using deep learning. Contributions of the Astronomical Observatory Skalnaté Pleso, 52(3), 126-131. 1335-1842. DOI: https://doi.org/10.31577/caosp.2022.52.3.126
O vydaní:
Vydavateľ: Astronomical Institute, Slovak Academy of Sciences
Publikované: 1. 12. 2022
Verejná licencia:
