Prediction of Steel Atmospheric Corrosion by Means of Artificial Intelligence Methods.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F11%3A86081639" target="_blank" >RIV/61989100:27360/11:86081639 - isvavai.cz</a>
Alternative codes found
RIV/25794787:_____/11:#0000424
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Prediction of Steel Atmospheric Corrosion by Means of Artificial Intelligence Methods.
Original language description
Atmospheric corrosion of metal materials exposed under atmospheric conditions depends on various factors such as local temperature, relative humidity, amount of precipitation, pH of rainfall, concentration of main pollutants and exposition time. As thesefactors are very complex, exact relation for mathematical description of atmospheric corrosion of various metals are not known so far. Classical analytical and mathematical functions are of limited use to describe this type of strongly non-linear systemdepending on various meteorological-chemical factors and interaction between them and on material parameters. Nowadays there is certain chance to predict a corrosion loss of materials by artificial intelligence methods. The contribution deals with the use of artificial neural networks for prediction of steel atmospheric corrosion.
Czech name
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Czech description
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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
1201-1205
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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