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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F10%3APU89378%21RIV12-MSM-26210___
rdf:type
skos:Concept n18:Vysledek
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/00216305:26210/10:PU89378!RIV12-MSM-26210___
n3:aktivita
n13:P
n3:aktivity
P(ME10061)
n3:cisloPeriodika
1-2
n3:dodaniDat
n10:2012
n3:domaciTvurceVysledku
n15:6620477 n15:3703452
n3:druhVysledku
n9:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
250902
n3:idVysledku
RIV/00216305:26210/10:PU89378
n3:jazykVysledku
n6:eng
n3:klicovaSlova
LIBS, biominerals, artificial neural network, ANN
n3:klicoveSlovo
n8:ANN n8:artificial%20neural%20network n8:LIBS n8:biominerals
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[29BEB0821631]
n3:nazevZdroje
ICP Information Newsletter
n3:obor
n17:CB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
5
n3:projekt
n4:ME10061
n3:rokUplatneniVysledku
n10:2010
n3:svazekPeriodika
2010
n3:tvurceVysledku
Kaiser, Jozef Galiová, Michaela
s:issn
0161-6951
s:numberOfPages
2
n14:organizacniJednotka
26210