How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems.
Takashi KuremotoMasanao ObayashiKunikazu KobayashiShingo MabuPublished in: ICSI (1) (2014)
Keyphrases
- learning systems
- learning rate
- neuro fuzzy
- neuro fuzzy network
- convergence rate
- learning algorithm
- hybrid learning
- fuzzy rules
- computer supported
- hidden layer
- reinforcement learning
- learning process
- multilayer neural networks
- adaptive learning rate
- learning resources
- machine learning
- fuzzy inference system
- rapid convergence
- learning environment
- convergence speed
- fuzzy neural network
- neuro fuzzy systems
- learning materials
- activation function
- recursive least squares
- convergence theorem
- recurrent neural networks
- feature extraction
- neural network
- global optimization
- adaptive systems
- metadata