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Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks

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Publication:1008898
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DOI10.1016/J.ADVENGSOFT.2008.05.002zbMath1275.74039OpenAlexW2025746666MaRDI QIDQ1008898

Mustafa Sarıdemir

Publication date: 30 March 2009

Published in: Advances in Engineering Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2008.05.002


zbMATH Keywords

neural networkscompressive strengthsilica fumemetakaolin


Mathematics Subject Classification ID

Numerical and other methods in solid mechanics (74S99)


Related Items (1)

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







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