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Detail publikace
Novotný, K. - Galiová, M. - Holá, M. - Kanický, V. - Kaiser, J.
Originální název
Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
The aim of this work is to analyze the feasibility of Artificial Neural Network (ANN) for the identification and classification of mineralized tissues and bio-mineral structures based on spectra obtained by LIBS. In this study, a set of different archeological samples are used to train and evaluate the ANN. For the identification of unknown samples the spectral emission of the plasma was first measured for known set of materials. The obtained spectra was used to train ANN and the output was defined as type of material (i.e. shell, mortar, soil, ceramic, tooth or bone).
Klíčová slova
LIBS; biominerals; artificial neural network; ANN
Autoři
Rok RIV
2010
Vydáno
4. 1. 2010
ISSN
0161-6951
Periodikum
ICP Information Newsletter
Ročník
Číslo
1-2
Stát
Spojené státy americké
Strany od
137
Strany do
138
Strany počet
2
BibTex
@article{BUT14631, author="Jozef {Kaiser} and Michaela {Vašinová Galiová}", title="Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks", journal="ICP Information Newsletter", year="2010", volume="2010", number="1-2", pages="137--138", issn="0161-6951" }