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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F10%3APU89378%21RIV11-MSM-26210___
rdf:type
n11: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/00216305:26210/10:PU89378!RIV11-MSM-26210___
n3:aktivita
n14:P
n3:aktivity
P(ME09015)
n3:dodaniDat
n7:2011
n3:domaciTvurceVysledku
n4:6620477 n4:3703452
n3:druhVysledku
n16:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
250903
n3:idVysledku
RIV/00216305:26210/10:PU89378
n3:jazykVysledku
n15:eng
n3:klicovaSlova
LIBS, biominerals, artificial neural network, ANN
n3:klicoveSlovo
n9:ANN n9:biominerals n9:LIBS n9:artificial%20neural%20network
n3:kontrolniKodProRIV
[D6D08EE28161]
n3:mistoKonaniAkce
Fort Myers, Florida, USA
n3:mistoVydani
Neuveden
n3:nazevZdroje
ICP Information Newsletter
n3:obor
n19:CB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
5
n3:projekt
n20:ME09015
n3:rokUplatneniVysledku
n7:2010
n3:tvurceVysledku
Galiová, Michaela Kaiser, Jozef
n3:typAkce
n5:WRD
n3:zahajeniAkce
2010-01-04+01:00
s:issn
0161-6951
s:numberOfPages
2
n13:hasPublisher
Neuveden
n17:organizacniJednotka
26210