Prediction of the effect of varying cure conditions and w/c ratio on the compressive strength of concrete using artificial neural networks

The present study aims at developing an artificial neural network (ANN) to predict the compressive strength of concrete. A data set containing a total of 72 concrete samples was used in the study. The following constituted the concrete mixture parameters: two distinct w / c ratios (0.63 and 0.70), t...

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Veröffentlicht in:Neural computing & applications 2013, Vol.22 (1), p.133-141
Hauptverfasser: Yaprak, Hasbi, Karacı, Abdülkadir, Demir, İlhami
Format: Artikel
Sprache:eng
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