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Strength Prediction of High-Strength Concrete by Fuzzy Logic and Artificial Neural Networks

1. Tayfur, Gökmen et al.
İzmir Yüksek Teknoloji Enstitüsü · Papers
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artificial-intelligencecementcompressive-strength
High-strength concretes (HSC) were prepared with five different binder contents, each of which had several silica fume (SF) ratios (0-15%). The compressive strength was determined at 3, 7, and 28 days, resulting in a total of 60 sets of data. In a fuzzy logic (FL) algorithm, three input variables (S
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