The application of neural networks on analysis of optical glass properties
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F15%3A86096697" target="_blank" >RIV/61989100:27360/15:86096697 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27350/15:86096697
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
The application of neural networks on analysis of optical glass properties
Original language description
In the paper we present application of artificial neural network (ANN) on relation between glass composition versus optical transmittance of the chosen glass systems. The excellent prediction ability of ANN program shows a possibility to influence the glass composition to obtain required optical properties.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JG - Metallurgy, metal materials
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Neural Networks and Advanced Applications
ISSN
2313-0563
e-ISSN
—
Volume of the periodical
2
Issue of the periodical within the volume
2015
Country of publishing house
US - UNITED STATES
Number of pages
4
Pages from-to
24-27
UT code for WoS article
—
EID of the result in the Scopus database
—