Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression.
Marco VirgolinTanja AlderliestenPeter A. N. BosmanPublished in: GECCO (2019)
Keyphrases
- symbolic regression
- genetic programming
- back propagation
- artificial neural networks
- neural network
- feed forward
- gene expression programming
- neural nets
- fitness function
- grammatical evolution
- evolutionary computation
- training algorithm
- bp algorithm
- evolutionary algorithm
- feedforward neural networks
- hidden layer
- multilayer perceptron
- learning algorithm
- backpropagation algorithm
- backpropagation neural networks
- bp neural network
- backpropagation neural network
- genetic algorithm
- fuzzy logic
- software package
- parameter optimization
- regression problems
- machine learning
- computational intelligence
- real time