A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm
Jiandong Huang(China Academy of Launch Vehicle Technology), Mahdi Hasanipanah(Duy Tan University), Siavash Manafi Khajeh Pasha, Panagiotis G. Asteris(School of Pedagogical and Technological Education), Ahmed Salih Mohammed(University of Sulaimani)
Cited by 88
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
Mathematical Macromodeling of Infilled Frames: State of the Art
|Journal of Structural Engineering|2011|329