Implementation of Neural Networks for Prediction of Chemical Composition of Refining Slag
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F10%3A86076156" target="_blank" >RIV/61989100:27360/10:86076156 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Implementation of Neural Networks for Prediction of Chemical Composition of Refining Slag
Original language description
Contribution deals with problems of application of artificial neural networks for prediction of chemical composition of refining slag with aim to optimize production process and to improve economy of production. Results of neural networks, which inputs were created from different combination of data, are compared in the contribution. The first priority of prediction accuracy was accentuated to these three components if refining slag: SiO2, Al2O3 and CaO. These predictions must be as accurate as possible, because ternary diagram of temperature of refining slag is drafted from these three components.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JG - Metallurgy, metal materials
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
METAL 2010
ISBN
978-80-87294-17-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
TANGER, spol. s r.o.
Place of publication
Ostrava
Event location
Rožnov pod Radhoštěm
Event date
May 18, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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