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Statements

Subject Item
n2:RIV%2F00216224%3A14310%2F10%3A00043581%21RIV11-MSM-14310___
rdf:type
n13:Vysledek skos:Concept
dcterms: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).
dcterms: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
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
skos:notation
RIV/00216224:14310/10:00043581!RIV11-MSM-14310___
n4:aktivita
n15:S n15:P
n4:aktivity
P(ME08002), S
n4:dodaniDat
n10:2011
n4:domaciTvurceVysledku
n11:2647788 n11:6620477 n11:4788303 n11:2280833 n11:3703452
n4:druhVysledku
n19:D
n4:duvernostUdaju
n12:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
250904
n4:idVysledku
RIV/00216224:14310/10:00043581
n4:jazykVysledku
n5:eng
n4:klicovaSlova
LIBS; biominerals; artificial neural network; ANN
n4:klicoveSlovo
n6:LIBS n6:biominerals n6:ANN n6:artificial%20neural%20network
n4:kontrolniKodProRIV
[617446577141]
n4:mistoKonaniAkce
Fort Myers
n4:mistoVydani
Hadley
n4:nazevZdroje
Winter Conference on Plasma Spectrochemistry 2010, ICP Information Newsletter
n4:obor
n7:CB
n4:pocetDomacichTvurcuVysledku
5
n4:pocetTvurcuVysledku
5
n4:projekt
n20:ME08002
n4:rokUplatneniVysledku
n10:2010
n4:tvurceVysledku
Kaiser, Jozef Novotný, Karel Holá, Markéta Galiová, Michaela Kanický, Viktor
n4:typAkce
n14:WRD
n4:zahajeniAkce
2010-01-04+01:00
s:issn
0161-6951
s:numberOfPages
2
n16:hasPublisher
ICP Information Newsletter, Inc.
n17:organizacniJednotka
14310