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  • The contribution deals with the use of artificial neural networks for prediction of corrosion loss of structural carbon steel. Nowadays there is certain chance to predict a corrosion loss of materials by artificial intelligence methods, especially by neural networks. A model of neural network for prediction of corrosion loss of structural carbon steel based on the input environmental parameters affecting the corrosion of metals in the atmospheric environment (temperature, relative humidity, air pollution by sulphur dioxide and the exposition time) was created. The model enables to predict corrosion loss of steel with a sufficiently small error.
  • The contribution deals with the use of artificial neural networks for prediction of corrosion loss of structural carbon steel. Nowadays there is certain chance to predict a corrosion loss of materials by artificial intelligence methods, especially by neural networks. A model of neural network for prediction of corrosion loss of structural carbon steel based on the input environmental parameters affecting the corrosion of metals in the atmospheric environment (temperature, relative humidity, air pollution by sulphur dioxide and the exposition time) was created. The model enables to predict corrosion loss of steel with a sufficiently small error. (en)
Title
  • Exploitation of Artificial Intelligence Methods for Prediction of Atmospheric Corrosion
  • Exploitation of Artificial Intelligence Methods for Prediction of Atmospheric Corrosion (en)
skos:prefLabel
  • Exploitation of Artificial Intelligence Methods for Prediction of Atmospheric Corrosion
  • Exploitation of Artificial Intelligence Methods for Prediction of Atmospheric Corrosion (en)
skos:notation
  • RIV/25794787:_____/12:#0000480!RIV13-MSM-25794787
http://linked.open...avai/predkladatel
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  • Z(MSM2579478701)
http://linked.open...vai/riv/dodaniDat
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  • 135810
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  • RIV/25794787:_____/12:#0000480
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  • artificial neural networks; atmospheric corrosion; prediction; model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FA529BEA6CAE]
http://linked.open...v/mistoKonaniAkce
  • Algarve, Portugalsko
http://linked.open...i/riv/mistoVydani
  • Algarve, Portugalsko
http://linked.open...i/riv/nazevZdroje
  • 7th International Conference on Diffusion in Solids and Liquids: Mass Transfer, Heat Transfer and Microstructure and Properties DSL-2011
http://linked.open...in/vavai/riv/obor
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  • Kreislová, Kateřina
  • Kopal, I.
  • Jančíková, Z.
  • Koštial, P.
  • Ružiak, I.
  • Seidl, D.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • IRONIX CONFERENCES
https://schema.org/isbn
  • 978-3-03785-400-6
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