Concrete compressive strength analysis using a combined classification and regression technique
By Jui-Sheng Chou, Chih-Fong Tsai. 2012
150 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/32ecbca205fadea5fdde367e0d46cc0469ecbdff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- A. Pham
- Yu-Hsin Lu
- Chih-Fong Tsai
- Jui-Sheng Chou
- Amir Hossein Alavi
- M. Z. Naser
- Hadi Salehi
- Rigoberto Burgueño
Citations in the corpus
- Machine learning in concrete strength simulations: Multi-nation data analytics (2014, methodology): “Chou and Tsai, for example, improved accuracy in predicting HPC compressive strength by using a novel hierarchical approach that combined classification and regression technique [23].”
- Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression (2016, unknown): “…et al., 2009; Agarwal et al., 2011; Yaprak et al., 2011; Schoppe, 2011; Zega and Di Maio, 2009; Duangthidar et al., 2010; Poon et al., 2004; Adnan et al., 2011; Domingo-Cabo et al., 2009; Kou, 2006; Pereira et al., 2012; Lu et al., 2004; Gonçalves et al., 2004; Corinaldesi, 2010; Li, 2011).”