Model of multilayer artificial neural network for prediction of iron ore demand

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F11%3A86081883" target="_blank" >RIV/61989100:27360/11:86081883 - 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
Model of multilayer artificial neural network for prediction of iron ore demand
Original language description
With regards to many effects which can disrupt the delivery schedule of iron ore to a company, this raw material must be ordered well in advance. Determination of the required order volume results from prediction of iron ore demand. With respect to the fluctuations on the metallurgical commodity market, it is very difficult to use classical prediction models based on time series analysis. A typical example when models based solely on historical time series can not be used to predict iron ore demand is the world economic crisis period, because the demand for metallurgical commodities witnesses a sharp decrease. The article presents prediction model based on multilayer artificial neural network which takes into account not only historical data of iron ore demand but also information regarding the current situation on the world steel market and the iron ore stock volume of a given metallurgical company. The model is designed in such a way that the output is represented by the demand predi
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
20th Anniversary International Conference on Metallurgy and Materials: METAL 2011
ISBN
978-80-87294-24-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1206-1210
Publisher name
Tanger
Place of publication
Ostrava
Event location
Brno
Event date
May 18, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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