About: Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks     Goto   Sponge   NotDistinct   Permalink

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Description
  • 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).
  • 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). (en)
Title
  • Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks
  • Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks (en)
skos:prefLabel
  • Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks
  • Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks (en)
skos:notation
  • RIV/00216305:26210/10:PU89378!RIV12-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ME10061)
http://linked.open...iv/cisloPeriodika
  • 1-2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 250902
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/10:PU89378
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • LIBS, biominerals, artificial neural network, ANN (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [29BEB0821631]
http://linked.open...i/riv/nazevZdroje
  • ICP Information Newsletter
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2010
http://linked.open...iv/tvurceVysledku
  • Kaiser, Jozef
  • Galiová, Michaela
issn
  • 0161-6951
number of pages
http://localhost/t...ganizacniJednotka
  • 26210
is http://linked.open...avai/riv/vysledek of
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