Publication detail

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.

Original Title

Type

journal article - other

Language

English

Original Abstract

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).

Keywords

LIBS; biominerals; artificial neural network; ANN

Authors

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

RIV year

2010

Released

4. 1. 2010

ISBN

0161-6951

Periodical

ICP Information Newsletter

Year of study

2010

Number

1-2

State

United States of America

Pages from

137

Pages to

138

Pages count

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"
}