Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F11%3A86081934" target="_blank" >RIV/61989100:27360/11:86081934 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Generalised concept of artificial neural network models for demand forecasting of metallurgical commodities

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Hutnik: Wiadomości Hutnicze

ISSN

1230-3534

e-ISSN

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Svazek periodika

78

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

3

Strana od-do

745-747

Kód UT WoS článku

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EID výsledku v databázi Scopus

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