Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging.
Kaifeng YangMichael AffenzellerPublished in: ISM (2021)
Keyphrases
- symbolic regression
- genetic programming
- grammatical evolution
- evolutionary computation
- gene expression programming
- software package
- least squares
- parameter optimization
- fitness function
- evolutionary algorithm
- machine learning
- learning algorithm
- genetic algorithm
- neural network
- power system
- regression problems
- artificial neural networks
- artificial intelligence