Training Deep Fourier Neural Networks To Fit Time-Series Data.
Michael S. GashlerStephen C. AshmorePublished in: CoRR (2014)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- feed forward neural networks
- backpropagation algorithm
- deep architectures
- multi layer perceptron
- pattern recognition
- recurrent networks
- training set
- multilayer perceptron
- image reconstruction
- multilayer neural network
- fourier transform
- fault diagnosis
- back propagation
- artificial neural networks
- data sets
- neural network training
- multiscale
- high dimensional
- fuzzy logic
- supervised learning
- training samples
- test set
- training phase
- radial basis function network
- multivariate time series
- multi layer
- training data
- neural network structure
- genetic algorithm
- frequency domain