Detail publikace

Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks

Novotný, K. - Galiová, M. - Holá, M. - Kanický, V. - Kaiser, J.

Originální název

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

Novotný, K. - Galiová, M. - Holá, M. - Kanický, V. - Kaiser, J.

Rok RIV

2010

Vydáno

4. 1. 2010

ISSN

0161-6951

Periodikum

ICP Information Newsletter

Ročník

2010

Číslo

1-2

Stát

Spojené státy americké

Strany od

137

Strany do

138

Strany počet

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"
}