Prediction of hydraulic conductivity of porous granular media by establishment of random forest algorithm
MJ Azarhoosh, M Koohmishi - Construction and Building Materials, 2023 - Elsevier
The present study investigates the possibility of using random forest (RF) algorithm for
prediction of hydraulic conductivity of coarse-sized granular material. Meanwhile, the …
prediction of hydraulic conductivity of coarse-sized granular material. Meanwhile, the …
Performance evaluation of RBF networks with various variables to forecast the properties of SCCs
A Gholamzadeh Chitgar, J Berenjian - Civil Engineering Infrastructures …, 2021 - ceij.ut.ac.ir
In the present study, Radial Basis Function (RBF) neural networks are applied to forecast the
compressive strength and elastic modulus of Self-Compacting Concrete (SCC). To construct …
compressive strength and elastic modulus of Self-Compacting Concrete (SCC). To construct …