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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F10%3A00043581" target="_blank" >RIV/00216224:14310/10:00043581 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/10:PU89378
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks
Original language 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).
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Winter Conference on Plasma Spectrochemistry 2010, ICP Information Newsletter
ISBN
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ISSN
0161-6951
e-ISSN
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Number of pages
2
Pages from-to
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Publisher name
ICP Information Newsletter, Inc.
Place of publication
Hadley
Event location
Fort Myers
Event date
Jan 4, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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