Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic

DOI10.1016/J.ADVENGSOFT.2008.12.008zbMath1421.74008OpenAlexW2042607402MaRDI QIDQ834240

Mustafa Sarıdemir

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.2008.12.008

zbMATH Keywords

fuzzy logicneural networkcompressive strengthmortarmetakaolin

Mathematics Subject Classification ID

Experimental work for problems pertaining to mechanics of deformable solids (74-05)

Cites Work

• River flow estimation using adaptive neuro fuzzy inference system
• Fuzzy identification of systems and its applications to modeling and control
• An experiment in linguistic synthesis with a fuzzy logic controller

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