A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation.
Petrônio L. BragaAdriano L. I. OliveiraSilvio R. L. MeiraPublished in: SAC (2008)
Keyphrases
- support vector regression
- support vector classification
- feature selection
- support vector
- response surface methodology
- parameter optimization
- nonlinear regression
- support vector machine
- optimal parameters
- hybrid genetic
- regression model
- optimization algorithm
- grid search
- genetic algorithm ga
- hybrid model
- kernel learning
- feature set
- forecasting model
- electronic equipment
- machine learning