Use of Neural Networks for Lifetime Analysis of Teeming Ladles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27710%2F22%3A10251121" target="_blank" >RIV/61989100:27710/22:10251121 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27360/22:10251121

Result on the web

<a href="https://www.mdpi.com/1956460" target="_blank" >https://www.mdpi.com/1956460</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ma15228234" target="_blank" >10.3390/ma15228234</a>

Result language

angličtina

Original language name

Use of Neural Networks for Lifetime Analysis of Teeming Ladles

Original language description

When describing the behaviour and modelling of real systems, which are characterized by considerable complexity, great difficulty, and often the impossibility of their formal mathematical description, and whose operational monitoring and measurement are difficult, conventional analytical-statistical models run into the limits of their use. The application of these models leads to necessary simplifications, which cause insufficient adequacy of the resulting mathematical description. In such cases, it is appropriate for modelling to use the methods brought by a new scientific discipline-artificial intelligence. Artificial intelligence provides very promising tools for describing and controlling complex systems. The method of neural networks was chosen for the analysis of the lifetime of the teeming ladle. Artificial neural networks are mathematical models that approximate non-linear functions of an arbitrary waveform. The advantage of neural networks is their ability to generalize the dependencies between individual quantities by learning the presented patterns. This property of a neural network is referred to as generalization. Their use is suitable for processing complex problems where the dependencies between individual quantities are not exactly known.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20500 - Materials engineering

Project

<a href="/en/project/FW01010097" target="_blank" >FW01010097: Automated Control Systems in the Field of Ladle Metallurgy</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

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

Name of the periodical

Materials

ISSN

1996-1944

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

22

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

nestrankovano

UT code for WoS article

000887369200001

EID of the result in the Scopus database

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