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.

Anglický název

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

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

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 anglicky

LIBS; biominerals; artificial neural network; ANN

Vydáno

2010-01-04

ISSN

0161-6951

Časopis

ICP Information Newsletter

Ročník

2010

Číslo

1-2

Strany od–do

137–138

Počet stran

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"
}