FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3007270451> ?p ?o ?g. }

• W3007270451 endingPage "1072" @default.
• W3007270451 startingPage "1072" @default.
• W3007270451 abstract "Development of Foamed Concrete (FC) and incessant increases in fabrication technology have paved the way for many promising civil engineering applications. Nevertheless, the design of FC requires a large number of experiments to determine the appropriate Compressive Strength (CS). Employment of machine learning algorithms to take advantage of the existing experiments database has been attempted, but model performance can still be improved. In this study, the performance of an Artificial Neural Network (ANN) was fully analyzed to predict the 28 days CS of FC. Monte Carlo simulations (MCS) were used to statistically analyze the convergence of the modeled results under the effect of random sampling strategies and the network structures selected. Various statistical measures such as Coefficient of Determination (R2), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) were used for validation of model performance. The results show that ANN is a highly efficient predictor of the CS of FC, achieving a maximum R2 value of 0.976 on the training part and an R2 of 0.972 on the testing part, using the optimized C-ANN-[3,4,5,1] structure, which compares with previous published studies. In addition, a sensitivity analysis using Partial Dependence Plots (PDP) over 1000 MCS was also performed to interpret the relationship between the input parameters and 28 days CS of FC. Dry density was found as the variable with the highest impact to predict the CS of FC. The results presented could facilitate and enhance the use of C-ANN in other civil engineering-related problems." @default.
• W3007270451 created "2020-03-06" @default.
• W3007270451 creator A5014592308 @default.
• W3007270451 creator A5024957412 @default.
• W3007270451 creator A5029814958 @default.
• W3007270451 creator A5044750250 @default.
• W3007270451 creator A5069214273 @default.
• W3007270451 date "2020-02-28" @default.
• W3007270451 modified "2023-10-14" @default.
• W3007270451 title "Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete" @default.
• W3007270451 cites W1530307816 @default.
• W3007270451 cites W1797651134 @default.
• W3007270451 cites W1977121589 @default.
• W3007270451 cites W1981934934 @default.
• W3007270451 cites W1983735453 @default.
• W3007270451 cites W1993719368 @default.
• W3007270451 cites W1995341919 @default.
• W3007270451 cites W2000199939 @default.
• W3007270451 cites W2035014488 @default.
• W3007270451 cites W2052627715 @default.
• W3007270451 cites W2053547322 @default.
• W3007270451 cites W2061661828 @default.
• W3007270451 cites W2076193817 @default.
• W3007270451 cites W2089037216 @default.
• W3007270451 cites W2102037464 @default.
• W3007270451 cites W2102094842 @default.
• W3007270451 cites W2109563136 @default.
• W3007270451 cites W2112393069 @default.
• W3007270451 cites W2125847307 @default.
• W3007270451 cites W2128793151 @default.
• W3007270451 cites W2133490597 @default.
• W3007270451 cites W2136920455 @default.
• W3007270451 cites W2146977519 @default.
• W3007270451 cites W2152827969 @default.
• W3007270451 cites W2165068471 @default.
• W3007270451 cites W2179483371 @default.
• W3007270451 cites W2292814759 @default.
• W3007270451 cites W2318904107 @default.
• W3007270451 cites W2330750333 @default.
• W3007270451 cites W2342055797 @default.
• W3007270451 cites W2519206442 @default.
• W3007270451 cites W2519746072 @default.
• W3007270451 cites W2551200462 @default.
• W3007270451 cites W2556448491 @default.
• W3007270451 cites W2593848727 @default.
• W3007270451 cites W2609731728 @default.
• W3007270451 cites W2622670311 @default.
• W3007270451 cites W2758887415 @default.
• W3007270451 cites W2778170818 @default.
• W3007270451 cites W2792710564 @default.
• W3007270451 cites W2830213849 @default.
• W3007270451 cites W2885792944 @default.
• W3007270451 cites W2894655723 @default.
• W3007270451 cites W2898595828 @default.
• W3007270451 cites W2900511825 @default.
• W3007270451 cites W2908619734 @default.
• W3007270451 cites W2910617780 @default.
• W3007270451 cites W2921499992 @default.
• W3007270451 cites W2923370583 @default.
• W3007270451 cites W2943863934 @default.
• W3007270451 cites W2943973631 @default.
• W3007270451 cites W2946194644 @default.
• W3007270451 cites W2947019364 @default.
• W3007270451 cites W2948124597 @default.
• W3007270451 cites W2948447313 @default.
• W3007270451 cites W2962224590 @default.
• W3007270451 cites W2965383324 @default.
• W3007270451 cites W2969688345 @default.
• W3007270451 cites W2971775277 @default.
• W3007270451 cites W2972621917 @default.
• W3007270451 cites W2975163794 @default.
• W3007270451 cites W2980655104 @default.
• W3007270451 cites W2986717581 @default.
• W3007270451 cites W2987946516 @default.
• W3007270451 cites W2988268571 @default.
• W3007270451 cites W2988920695 @default.
• W3007270451 cites W2991237959 @default.
• W3007270451 cites W2995027684 @default.
• W3007270451 cites W2999015335 @default.
• W3007270451 cites W2999205998 @default.
• W3007270451 cites W2999209402 @default.
• W3007270451 cites W2999969809 @default.
• W3007270451 cites W3001229584 @default.
• W3007270451 cites W3210748623 @default.
• W3007270451 cites W4244978990 @default.
• W3007270451 cites W817005018 @default.
• W3007270451 doi "https://doi.org/10.3390/ma13051072" @default.
• W3007270451 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7084645" @default.
• W3007270451 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32121104" @default.
• W3007270451 hasPublicationYear "2020" @default.
• W3007270451 type Work @default.
• W3007270451 sameAs 3007270451 @default.
• W3007270451 citedByCount "59" @default.
• W3007270451 countsByYear W30072704512020 @default.
• W3007270451 countsByYear W30072704512021 @default.
• W3007270451 countsByYear W30072704512022 @default.
• W3007270451 countsByYear W30072704512023 @default.
• W3007270451 crossrefType "journal-article" @default.

• next