About: The Neural Network Analysis of Optical Glasses Transmittance

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 - PbCl2 and 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 of statistic data evaluation and they are able to express more complex relations than these methods. 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 - PbCl2 and 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 of statistic data evaluation and they are able to express more complex relations than these methods. (en)
Title	The Neural Network Analysis of Optical Glasses Transmittance The Neural Network Analysis of Optical Glasses Transmittance (en)
skos:prefLabel	The Neural Network Analysis of Optical Glasses Transmittance The Neural Network Analysis of Optical Glasses Transmittance (en)
skos:notation	RIV/61989100:27360/14:86092124!RIV15-MSM-27360___
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Jančíková, Zora Koštial, Pavol Zimný, Ondřej
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta metalurgie a materiálového inženýrství
http://linked.open...dnocenehoVysledku	32231
http://linked.open...ai/riv/idVysledku	RIV/61989100:27360/14:86092124
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	antimonate glasses, structure, neural networks (en)
http://linked.open.../riv/klicoveSlovo	neural networks structure antimonate glasses
http://linked.open...ontrolniKodProRIV	[3C097C401180]
http://linked.open...v/mistoKonaniAkce	Velké Karlovice
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2014 15th International Carpathian Control Conference, ICCC 2014
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Jančíková, Zora Koštial, Pavol Poulain, M. Zimný, Ondřej Bošák, O. Minárik, S. Legouera, M. Soltani, M. T.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-05-28 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-1-4799-3528-4
http://localhost/t...ganizacniJednotka	27360

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