Non-Linear Global Optimization via Parameterization and Inverse Function Approximation: an Artificial Neural Networks Approach.
René V. MayorgaMariano ArriagaPublished in: Int. J. Neural Syst. (2007)
Keyphrases
- global optimization
- function approximation
- artificial neural networks
- radial basis function
- reinforcement learning
- particle swarm optimization
- neural network
- temporal difference learning
- computational intelligence
- model free
- learning tasks
- genetic algorithm
- function approximators
- temporal difference learning algorithms
- feed forward neural networks
- temporal difference
- back propagation
- neural network model
- pso algorithm
- recurrent neural networks
- constrained global optimization
- machine learning
- genetic algorithm ga
- multi objective
- search algorithm
- training data