Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete.
Hemn Unis AhmedReham R. MostafaAhmed Salih MohammedParveen SihagAzad QadirPublished in: Neural Comput. Appl. (2023)
Keyphrases
- support vector regression
- forecasting model
- support vector
- regression model
- kernel function
- hybrid model
- response surface methodology
- hybrid genetic
- support vector machine svm
- grid search
- optimization algorithm
- compressive sensing
- extreme learning machine
- support vector machine
- wavelet neural network
- kernel learning
- immune algorithm
- support vector classification
- electronic equipment
- global optimization
- nonlinear regression
- machine learning