Training Deep Fourier Neural Networks to Fit Time-Series Data.
Michael S. GashlerStephen C. AshmorePublished in: ICIC (3) (2014)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- deep architectures
- feed forward neural networks
- multi layer perceptron
- backpropagation algorithm
- training patterns
- fuzzy logic
- genetic algorithm
- training phase
- multi layer
- neural nets
- fourier transform
- training data
- back propagation
- supervised learning
- error back propagation
- neural network training
- pattern recognition
- radial basis function network
- artificial neural networks
- test set
- self organizing maps
- non stationary
- network architecture
- training samples
- image reconstruction
- fuzzy systems
- high dimensional
- learning rate
- translation invariant
- training set
- recurrent networks
- feed forward
- neural network model