The Improvement of Quality of Steelworks Products Using Artificial Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F09%3A00022120" target="_blank" >RIV/61989100:27360/09:00022120 - 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
The Improvement of Quality of Steelworks Products Using Artificial Neural Network
Original language description
This contribution deals with the application of artificial neural networks in metallurgy. There were problems with the formability of ingots made of carbon steel brand grade in accordance with ČSN 11523 standards in the Czech Republic. The problems occurred randomly and independently from the technological procedure. The creation of the new artificial neural networks is based on the data provided by the steelworks company. The data were based on carbon steel brand grade in accordance with ČSN 11523 standards in the Czech Republic. The new artificial neural network was created by the computer programme STATISTICA ? Neural Network. The artificial neural networks with the best results have been used to create the response graphs. These response graphs represent the influence of the first element on the system. The results of this project indicate that the use of artificial neural networks for predicting defects of ingots in steelworks is very perspective. The problem was solved together w
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
<a href="/en/project/GA106%2F05%2F2596" target="_blank" >GA106/05/2596: Exploitation of knowledge systems in maintenance control of metallurgical devices with involvement of continuous diagnostics to solution</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Students´ Day of Metallurgy
ISBN
978-80-248-2006-4
ISSN
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e-ISSN
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Number of pages
1
Pages from-to
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Publisher name
Vysoká škola báňská - Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Apr 23, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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