The Neural Network Analysis of Optical Glasses Transmittance

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F14%3A86092124" target="_blank" >RIV/61989100:27360/14:86092124 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
The Neural Network Analysis of Optical Glasses Transmittance
Original language description
The attention is devoted to the active and passive optical fibres of the suitable glasses. Because of high structural sensitivity of optical transmittance to glass composition we present sophisticated solution of experimental data evaluation to obtain way directly predict the proper glass composition-transmitance relation. In the paper we present application of artificial neural network (ANN) on relation between glass composition versus optical transmittance of the chosen glass systems of Sb2O3 - PbCl2and Sb2O3 ? PbO ? M2O, where M was Na, K and Li, respectively. The developed neural model predicts optical transmittance with sufficiently small error (7%). Neural networks are able to simulate dependences which can be hardly solved by classic methods ofstatistic data evaluation and they are able to express more complex relations than these methods.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2014 15th International Carpathian Control Conference, ICCC 2014
ISBN
978-1-4799-3528-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
196-200
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Velké Karlovice
Event date
May 28, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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