Matches in SemOpenAlex for { <https://semopenalex.org/work/W2991982853> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2991982853 endingPage "20" @default.
- W2991982853 startingPage "11" @default.
- W2991982853 abstract "The data on the physical properties of steels which depend on temperature are needed for the calculation and simulation of heating and cooling processes. A method for predicting thermal conductivity of steels at elevated temperatures (up to 700 °C) from the known steel chemical composition has been developed, and the results obtained by the simulation are given. A static multi-layer feed-forward artificial neural network with the back propagation training function and Levenberg-Marquardt optimization was used to predict the coefficient of thermal conductivity of steels. In order to prevent the over fitting the early stopping method was applied. The following groups of steel were included in the model: structural steels, hotwork tool steels, high-speed steels, stainless steels, heat resistant steels austenitic steels for elevated temperatures, and cobalt alloyed steels and alloys for elevated temperatures. The mean absolute error in predicting thermal conductivity and the standard deviation were found to be very acceptable." @default.
- W2991982853 created "2019-12-13" @default.
- W2991982853 creator A5003687125 @default.
- W2991982853 creator A5016758102 @default.
- W2991982853 date "2010-01-01" @default.
- W2991982853 modified "2023-09-23" @default.
- W2991982853 title "Predicting Thermal Conductivity of Steels Using Artificial Neural Networks" @default.
- W2991982853 cites W1993761604 @default.
- W2991982853 cites W2055540051 @default.
- W2991982853 cites W2137983211 @default.
- W2991982853 hasPublicationYear "2010" @default.
- W2991982853 type Work @default.
- W2991982853 sameAs 2991982853 @default.
- W2991982853 citedByCount "4" @default.
- W2991982853 countsByYear W29919828532019 @default.
- W2991982853 countsByYear W29919828532020 @default.
- W2991982853 countsByYear W29919828532021 @default.
- W2991982853 crossrefType "journal-article" @default.
- W2991982853 hasAuthorship W2991982853A5003687125 @default.
- W2991982853 hasAuthorship W2991982853A5016758102 @default.
- W2991982853 hasConcept C105795698 @default.
- W2991982853 hasConcept C121332964 @default.
- W2991982853 hasConcept C154945302 @default.
- W2991982853 hasConcept C155032097 @default.
- W2991982853 hasConcept C159985019 @default.
- W2991982853 hasConcept C191897082 @default.
- W2991982853 hasConcept C192562407 @default.
- W2991982853 hasConcept C204530211 @default.
- W2991982853 hasConcept C22679943 @default.
- W2991982853 hasConcept C33923547 @default.
- W2991982853 hasConcept C41008148 @default.
- W2991982853 hasConcept C50644808 @default.
- W2991982853 hasConcept C87976508 @default.
- W2991982853 hasConcept C96288455 @default.
- W2991982853 hasConcept C97346530 @default.
- W2991982853 hasConcept C97355855 @default.
- W2991982853 hasConceptScore W2991982853C105795698 @default.
- W2991982853 hasConceptScore W2991982853C121332964 @default.
- W2991982853 hasConceptScore W2991982853C154945302 @default.
- W2991982853 hasConceptScore W2991982853C155032097 @default.
- W2991982853 hasConceptScore W2991982853C159985019 @default.
- W2991982853 hasConceptScore W2991982853C191897082 @default.
- W2991982853 hasConceptScore W2991982853C192562407 @default.
- W2991982853 hasConceptScore W2991982853C204530211 @default.
- W2991982853 hasConceptScore W2991982853C22679943 @default.
- W2991982853 hasConceptScore W2991982853C33923547 @default.
- W2991982853 hasConceptScore W2991982853C41008148 @default.
- W2991982853 hasConceptScore W2991982853C50644808 @default.
- W2991982853 hasConceptScore W2991982853C87976508 @default.
- W2991982853 hasConceptScore W2991982853C96288455 @default.
- W2991982853 hasConceptScore W2991982853C97346530 @default.
- W2991982853 hasConceptScore W2991982853C97355855 @default.
- W2991982853 hasIssue "3" @default.
- W2991982853 hasLocation W29919828531 @default.
- W2991982853 hasOpenAccess W2991982853 @default.
- W2991982853 hasPrimaryLocation W29919828531 @default.
- W2991982853 hasRelatedWork W120630008 @default.
- W2991982853 hasRelatedWork W1509815536 @default.
- W2991982853 hasRelatedWork W1553025671 @default.
- W2991982853 hasRelatedWork W184957056 @default.
- W2991982853 hasRelatedWork W1966254617 @default.
- W2991982853 hasRelatedWork W1993092671 @default.
- W2991982853 hasRelatedWork W1995777919 @default.
- W2991982853 hasRelatedWork W1997212474 @default.
- W2991982853 hasRelatedWork W2130857006 @default.
- W2991982853 hasRelatedWork W2130893822 @default.
- W2991982853 hasRelatedWork W2346070300 @default.
- W2991982853 hasRelatedWork W2395404705 @default.
- W2991982853 hasRelatedWork W2413311265 @default.
- W2991982853 hasRelatedWork W269585605 @default.
- W2991982853 hasRelatedWork W2989797400 @default.
- W2991982853 hasRelatedWork W3048166454 @default.
- W2991982853 hasRelatedWork W44951949 @default.
- W2991982853 hasRelatedWork W77565328 @default.
- W2991982853 hasRelatedWork W811836085 @default.
- W2991982853 hasRelatedWork W1976429686 @default.
- W2991982853 hasVolume "34" @default.
- W2991982853 isParatext "false" @default.
- W2991982853 isRetracted "false" @default.
- W2991982853 magId "2991982853" @default.
- W2991982853 workType "article" @default.