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Statements

Subject Item
n2:RIV%2F61989100%3A27360%2F11%3A86081934%21RIV12-MSM-27360___
rdf:type
skos:Concept n8:Vysledek
dcterms:description
The article presents a generalised concept of artificial neural network forecasting models that would provide sufficient accuracy forecasts even in the period of significant fluctuation of demand for metallurgical commodities. The concept was deduced from two artificial neural network forecasting models which were applied in two processes of metallurgical companies and for two forecasting horizons. The first one was iron ore supply process where the objective was a short-term forecast of iron ore demand. The second was heavy plate cut shapes production process where a middle-term forecast was required. The article presents a generalised concept of artificial neural network forecasting models that would provide sufficient accuracy forecasts even in the period of significant fluctuation of demand for metallurgical commodities. The concept was deduced from two artificial neural network forecasting models which were applied in two processes of metallurgical companies and for two forecasting horizons. The first one was iron ore supply process where the objective was a short-term forecast of iron ore demand. The second was heavy plate cut shapes production process where a middle-term forecast was required.
dcterms:title
Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities
skos:prefLabel
Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities
skos:notation
RIV/61989100:27360/11:86081934!RIV12-MSM-27360___
n8:predkladatel
n9:orjk%3A27360
n4:aktivita
n18:N
n4:aktivity
N
n4:cisloPeriodika
9
n4:dodaniDat
n13:2012
n4:domaciTvurceVysledku
n15:9334130
n4:druhVysledku
n5:J
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
200906
n4:idVysledku
RIV/61989100:27360/11:86081934
n4:jazykVysledku
n10:eng
n4:klicovaSlova
heavy plate cut shapes; iron ore; metallurgical commodities; demand forecasting; artificial neural network
n4:klicoveSlovo
n11:metallurgical%20commodities n11:heavy%20plate%20cut%20shapes n11:iron%20ore n11:demand%20forecasting n11:artificial%20neural%20network
n4:kodStatuVydavatele
PL - Polská republika
n4:kontrolniKodProRIV
[34A83E44A78D]
n4:nazevZdroje
Hutnik: Wiadomości Hutnicze
n4:obor
n12:AE
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n13:2011
n4:svazekPeriodika
78
n4:tvurceVysledku
Feliks, J. Lenort, Radim
s:issn
1230-3534
s:numberOfPages
3
n7:organizacniJednotka
27360