Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic

By Ilker Bekir Topcu, Mustafa Sarıdemir. 2008

232 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/1f8f7baf0b1416f912c75ce16ae146059a524b47

How researchers see this paper

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1. M. Mbadike Elvis
2. George Uwadiegwu Alaneme

Citations in the corpus

• Modelling of the mechanical properties of concrete with cement ratio partially replaced by aluminium waste and sawdust ash using artificial neural network (2019, background): “This leaves only m actual inputs to the neuron: from x1 to xm [24, 25].”
• The influence of the use of recycled aggregates on the compressive strength of concrete: a review (2015, unknown): “…as artificial neural networks (Dantas, Leite, & Nagahama, 2013; Duan, Kou, & Poon, 2013; Kim, Lee, et al., 2013; Topçu & Sarıdemir, 2008), fuzzy logic (Topçu & Sarıdemir, 2008) and non-linear and multi-linear regressing analysis (Shin & Kim, 2013; Tam, Wang, & Tam, 2008; Younis & Pilakoutas, 2013).”