Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques
Tien-Thinh Le(Phenikaa (Vietnam)), Minas E. Lemonis(School of Pedagogical and Technological Education), Panagiotis G. Asteris(School of Pedagogical and Technological Education)
Cited by 127
Related Papers
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
|Cement and Concrete Research|2021|668
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
|Neural Computing and Applications|2020|456
Concrete compressive strength using artificial neural networks
|Neural Computing and Applications|2019|432
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
|Engineering With Computers|2020|349