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

DOI10.1016/J.ADVENGSOFT.2009.01.005zbMath1421.74114OpenAlexW1979721602MaRDI QIDQ834224

Cengiz D. Atiş, Okan Karahan, Fatih özcan, Harun Tanyildizi, Erdal Uncuoğlu

Publication date: 19 August 2009

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

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2009.01.005

zbMATH Keywords

fuzzy logicneural networkscompressive strengthconcretesilica fume

Mathematics Subject Classification ID

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Cites Work

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• Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks
• Multilayer feedforward networks are universal approximators
• Fuzzy sets

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