The Usage of Regression Analysis and Artificial Intelligence Tools in The Field of Metallurgy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F17%3A10238477" target="_blank" >RIV/61989100:27360/17:10238477 - 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 Usage of Regression Analysis and Artificial Intelligence Tools in The Field of Metallurgy
Original language description
The presented article deals with the possibility of using artificial intelligence tools, specifically genetic algorithms, in the metallurgical industry. The genetic algorithms are used here to estimate coefficients of regression functions. In some cases, the standard regression analysis tools lead to incorrect results. And then the genetic algorithms can serve as an optimization tool searching for a certain state space to find functions or functionalities optimum. To verify the correctness of this premise we have used the genetic algorithms to find coefficients of two regression functions types, namely linear regression function and nonlinear regression function. By comparing the results, we have confirmed in the discussion the suitability of using genetic algorithms in the field of regression analysis as well. Another result of this work is the determination of the general cost equation of the foundry furnaces. The data of selected foundries have been used both in classical regression analysis and in genetic algorithms applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20501 - Materials engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
METAL 2017: conference proceedings : 26th International Conference on Metallurgy and Materials : (reviewed version) : May 24th-26th 2017, Hotel Voroněž I, Brno, Czech Republic, EU
ISBN
978-80-87294-79-6
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
2063-2068
Publisher name
Tanger
Place of publication
Ostrava
Event location
Brno
Event date
May 24, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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