Analytic Function Approximation by Path-Norm-Regularized Deep Neural Networks.
Aleksandr BeknazaryanPublished in: Entropy (2022)
Keyphrases
- function approximation
- neural network
- function approximators
- radial basis function
- reinforcement learning
- learning tasks
- objective function
- temporal difference
- fuzzy logic
- temporal difference learning algorithms
- mackey glass
- pattern recognition
- temporal difference learning
- artificial neural networks
- model free
- back propagation
- rbf network
- least squares
- activation function
- genetic algorithm
- feed forward
- support vector
- temporal difference methods
- fuzzy systems
- learning process
- feed forward neural networks
- k nearest neighbor
- back propagation neural network
- text categorization