Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete

@article{zcan2009ComparisonOA,
  title={Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete},
  author={Fatih {\"O}zcan and Cengiz D. Atis and Okan Karahan and Erdal Uncuoglu and Harun Tanyildizi},
  journal={Advances in Engineering Software},
  year={2009},
  volume={40},
  pages={856-863}
}
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predict the compressive strength of silica fume concrete. A data set of a laboratory work, in which a total of 48 concretes were produced, was utilized in the ANNs and FL study. The concrete mixture parameters were four different water–cement ratios, three different cement dosages and three partial silica fume replacement ratios. Compressive strength of moist cured specimens was measured at five… CONTINUE READING

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