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rdf:type
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Description
| - Corrosion of structural metals exposed under atmospheric conditions depends on various factors such as local temperature, relative humidity, amount of precipitation, pH of rainfall, concentration of main pollutants (SO42-, Cl-, NOX, O3, etc.) and exposition time. An application of Artificial Intelligence in the form of Neural Networks (ANN) seems to be sophisticated way for prediction of atmospheric corrosion of structural metals. In cooperation of SVÚOM Ltd. Prague and TU Kosice prototype using live prediction artificial neural models was developed to assess corrosion rate of carbon steel based on long-term exposure data.
- Corrosion of structural metals exposed under atmospheric conditions depends on various factors such as local temperature, relative humidity, amount of precipitation, pH of rainfall, concentration of main pollutants (SO42-, Cl-, NOX, O3, etc.) and exposition time. An application of Artificial Intelligence in the form of Neural Networks (ANN) seems to be sophisticated way for prediction of atmospheric corrosion of structural metals. In cooperation of SVÚOM Ltd. Prague and TU Kosice prototype using live prediction artificial neural models was developed to assess corrosion rate of carbon steel based on long-term exposure data. (en)
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Title
| - Atmospheric corrosion of structural metals – methods of prediction of corrosion attack
- Atmospheric corrosion of structural metals – methods of prediction of corrosion attack (en)
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skos:prefLabel
| - Atmospheric corrosion of structural metals – methods of prediction of corrosion attack
- Atmospheric corrosion of structural metals – methods of prediction of corrosion attack (en)
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skos:notation
| - RIV/25794787:_____/08:#0000321!RIV11-MSM-25794787
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/25794787:_____/08:#0000321
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Precipitation; artificial inteligence; neural network; karbon steel; long-term exposure (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Kreislová, Kateřina
- Halama, M.
- Knotková, Dagmar
- Lesebettens, J. V.
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://purl.org/ne...btex#hasPublisher
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is http://linked.open...avai/riv/vysledek
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