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 |
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Sprache: | eng |
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