About: Exploitation of Artificial Intelligence Methods for Prediction of Atmospheric Corrosion

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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/61989100:27360/12:86082130!RIV13-MPO-27360___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(FR-TI1/319)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Jančíková, Zora Koštial, Pavol Seidl, David Ružiak, Ivan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta metalurgie a materiálového inženýrství
http://linked.open...dnocenehoVysledku	135811
http://linked.open...ai/riv/idVysledku	RIV/61989100:27360/12:86082130
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	artificial neural networks, atmospheric corrosion, prediction, model (en)
http://linked.open.../riv/klicoveSlovo	atmospheric corrosion artificial neural networks model prediction
http://linked.open...odStatuVydavatele	CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV	[D14E4612E707]
http://linked.open...i/riv/nazevZdroje	Deffect and Diffusion Forum
http://linked.open...in/vavai/riv/obor	JK
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	*Development of New Progressive Tools and Systems of Dependability Control Support of Primary Cooling on Slab Device of Continuous Casting for Quality Improvement of Demanding Flat Products
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	326-328
http://linked.open...iv/tvurceVysledku	Jančíková, Zora Kreislová, Kateřina Koštial, Pavol Ružiak, Ivan Kopal, Ivan Seidl, David
issn	1662-9507
number of pages	4 (xsd:int)
http://localhost/t...ganizacniJednotka	27360

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