Prediction of rubberized concrete properties using artificial neural network and fuzzy logic
By Ilker Bekir Topcu, Mustafa Sarıdemir. 2008
177 citations recorded by the source corpus.
Subfields: Building and Construction, Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/abd4ac1c2d6319e83d2c48aacfb3d6b76ba86ca8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Iman Hajirasouliha
- Saeed Gholizadeh
- Seyed Mohammad Seyedpoor
- Eysa Salajegheh
- Javad Salajegheh
- K. Pilakoutas
In Civil and Structural Engineering
- Iman Hajirasouliha
- Saeed Gholizadeh
- Seyed Mohammad Seyedpoor
- Eysa Salajegheh
- Javad Salajegheh
- K. Pilakoutas
Citations in the corpus
- Strength and deformability of waste tyre rubber-filled reinforced concrete columns (2011, background): “Mechanical properties of concrete containing tyre-rubber particles have been investigated in many studies [8-14].”
- Optimum shape design of arch dams for earthquake loading using a fuzzy inference system and wavelet neural networks (2009, methodology): “The process of FIS involves some concepts: fuzzy sets; membership functions; logical operations; and if–then rules (Topcu and Sarıdemir 2008).”