A constrained-optimization approach to training neural networks for smooth function approximation and system identification.
Gianluca Di MuroSilvia FerrariPublished in: IJCNN (2008)
Keyphrases
- function approximation
- constrained optimization
- neural network
- radial basis function
- function approximators
- reinforcement learning
- training algorithm
- multi layer perceptron
- feed forward neural networks
- recurrent neural networks
- temporal difference learning algorithms
- learning tasks
- temporal difference
- pattern recognition
- objective function
- mackey glass
- penalty function
- artificial neural networks
- back propagation
- genetic algorithm
- fuzzy logic
- feed forward
- supervised learning
- training set
- rbf network
- support vector
- activation function
- machine learning algorithms
- text classification
- support vector machine svm
- machine learning