Theoretical analysis of batch and on-line training for gradient descent learning in neural networks.
Takéhiko NakamaPublished in: Neurocomputing (2009)
Keyphrases
- theoretical analysis
- neural network
- training process
- feedforward neural networks
- learning algorithm
- learning process
- supervised learning
- online learning
- training algorithm
- inductive inference
- learning systems
- pattern recognition
- online training
- learning speed
- structured prediction
- learning capabilities
- neural nets
- recurrent networks
- learning problems
- learning tasks
- unsupervised learning
- active learning
- reinforcement learning
- radial basis function network
- error back propagation
- cascade correlation
- learning scheme
- recurrent neural networks
- neural network model
- numerical simulations
- knowledge acquisition
- training set