Self-Adaptive Layer: An Application of Function Approximation Theory to Enhance Convergence Efficiency in Neural Networks.
Ka-Hou ChanSio Kei ImWei KePublished in: ICOIN (2020)
Keyphrases
- function approximation
- neural network
- function approximators
- radial basis function
- reinforcement learning
- multi layer
- temporal difference
- temporal difference learning algorithms
- hidden nodes
- learning tasks
- temporal difference learning
- convergence rate
- fuzzy logic
- pattern recognition
- model free
- mackey glass
- support vector machine
- hidden layer
- reinforcement learning algorithms
- evolutionary algorithm
- back propagation
- support vector machine svm