FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000682255> ?p ?o ?g. }

• W2000682255 endingPage "953" @default.
• W2000682255 startingPage "938" @default.
• W2000682255 abstract "This work aimed to model the abrasion resistance of self-consolidating concretes (SCCs) utilising artificial neural networks (ANNs) and to compare their prediction performances with those of traditional regression models. To do this, 12 SCC mixtures were made with different mixture proportions and their abrasion depths were measured every 30 s for a testing period of 20 min. Several ANN and regression models were developed by varying a number of independent variables, the number of neurons, regression functions and samples allotted for training and testing. The results of the study revealed the superior performance of the neural network models compared with the regression models. The ANN models showed satisfactory performance in predicting the abrasion depth of SCCs, particularly when testing samples were chosen from data inside the boundaries of mixture proportions and abrasion depths. Prediction errors increased when mixtures with the highest and lowest abrasion depths were selected as testing mixtures. It was also found that increases in the number of independent variables did not improve the training and testing performances of the models." @default.
• W2000682255 created "2016-06-24" @default.
• W2000682255 creator A5002066945 @default.
• W2000682255 creator A5056985725 @default.
• W2000682255 creator A5070410931 @default.
• W2000682255 date "2015-09-01" @default.
• W2000682255 modified "2023-09-24" @default.
• W2000682255 title "Modelling the abrasion resistance of self-consolidating concrete" @default.
• W2000682255 cites W1976940329 @default.
• W2000682255 cites W1977275458 @default.
• W2000682255 cites W1983453301 @default.
• W2000682255 cites W1983735453 @default.
• W2000682255 cites W1985347149 @default.
• W2000682255 cites W1988390643 @default.
• W2000682255 cites W1990561590 @default.
• W2000682255 cites W1994576298 @default.
• W2000682255 cites W1995413870 @default.
• W2000682255 cites W1997307925 @default.
• W2000682255 cites W1997945763 @default.
• W2000682255 cites W2001705326 @default.
• W2000682255 cites W2006503574 @default.
• W2000682255 cites W2007902262 @default.
• W2000682255 cites W2008689257 @default.
• W2000682255 cites W2020194153 @default.
• W2000682255 cites W2022525371 @default.
• W2000682255 cites W2032962877 @default.
• W2000682255 cites W2042052953 @default.
• W2000682255 cites W2042607402 @default.
• W2000682255 cites W2050524161 @default.
• W2000682255 cites W2054432437 @default.
• W2000682255 cites W2054557393 @default.
• W2000682255 cites W2058385463 @default.
• W2000682255 cites W2060841663 @default.
• W2000682255 cites W2061404534 @default.
• W2000682255 cites W2075561123 @default.
• W2000682255 cites W2076669121 @default.
• W2000682255 cites W2077458446 @default.
• W2000682255 cites W2078339956 @default.
• W2000682255 cites W2079572060 @default.
• W2000682255 cites W2080269690 @default.
• W2000682255 cites W2086013785 @default.
• W2000682255 cites W2087468842 @default.
• W2000682255 cites W2130211989 @default.
• W2000682255 cites W2149851995 @default.
• W2000682255 doi "https://doi.org/10.1680/macr.14.00157" @default.
• W2000682255 hasPublicationYear "2015" @default.
• W2000682255 type Work @default.
• W2000682255 sameAs 2000682255 @default.
• W2000682255 citedByCount "4" @default.
• W2000682255 countsByYear W20006822552019 @default.
• W2000682255 countsByYear W20006822552021 @default.
• W2000682255 countsByYear W20006822552023 @default.
• W2000682255 crossrefType "journal-article" @default.
• W2000682255 hasAuthorship W2000682255A5002066945 @default.
• W2000682255 hasAuthorship W2000682255A5056985725 @default.
• W2000682255 hasAuthorship W2000682255A5070410931 @default.
• W2000682255 hasConcept C105795698 @default.
• W2000682255 hasConcept C118231568 @default.
• W2000682255 hasConcept C119857082 @default.
• W2000682255 hasConcept C152877465 @default.
• W2000682255 hasConcept C159985019 @default.
• W2000682255 hasConcept C16910744 @default.
• W2000682255 hasConcept C192562407 @default.
• W2000682255 hasConcept C199360897 @default.
• W2000682255 hasConcept C33923547 @default.
• W2000682255 hasConcept C41008148 @default.
• W2000682255 hasConcept C48921125 @default.
• W2000682255 hasConcept C50644808 @default.
• W2000682255 hasConcept C83546350 @default.
• W2000682255 hasConceptScore W2000682255C105795698 @default.
• W2000682255 hasConceptScore W2000682255C118231568 @default.
• W2000682255 hasConceptScore W2000682255C119857082 @default.
• W2000682255 hasConceptScore W2000682255C152877465 @default.
• W2000682255 hasConceptScore W2000682255C159985019 @default.
• W2000682255 hasConceptScore W2000682255C16910744 @default.
• W2000682255 hasConceptScore W2000682255C192562407 @default.
• W2000682255 hasConceptScore W2000682255C199360897 @default.
• W2000682255 hasConceptScore W2000682255C33923547 @default.
• W2000682255 hasConceptScore W2000682255C41008148 @default.
• W2000682255 hasConceptScore W2000682255C48921125 @default.
• W2000682255 hasConceptScore W2000682255C50644808 @default.
• W2000682255 hasConceptScore W2000682255C83546350 @default.
• W2000682255 hasIssue "17" @default.
• W2000682255 hasLocation W20006822551 @default.
• W2000682255 hasOpenAccess W2000682255 @default.
• W2000682255 hasPrimaryLocation W20006822551 @default.
• W2000682255 hasRelatedWork W2018697919 @default.
• W2000682255 hasRelatedWork W2060912888 @default.
• W2000682255 hasRelatedWork W2062105804 @default.
• W2000682255 hasRelatedWork W2375721435 @default.
• W2000682255 hasRelatedWork W247449116 @default.
• W2000682255 hasRelatedWork W3122861356 @default.
• W2000682255 hasRelatedWork W3162743360 @default.
• W2000682255 hasRelatedWork W4290879003 @default.
• W2000682255 hasRelatedWork W2184922845 @default.
• W2000682255 hasRelatedWork W2738033194 @default.
• W2000682255 hasVolume "67" @default.
• W2000682255 isParatext "false" @default.

• next