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.

English title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

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 in English

LIBS; biominerals; artificial neural network; ANN

Released

2010-01-04

ISSN

0161-6951

Journal

ICP Information Newsletter

Volume

2010

Number

1-2

Pages from–to

137–138

Pages count

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"
}