Undersampling for the training of feedback neural networks on large sequences; application to the modeling of an induction machine.
L. ConstantB. DaguesIsabelle RivalsLéon PersonnazPublished in: ICECS (1999)
Keyphrases
- neural network
- training algorithm
- training process
- modeling method
- machine learning
- echo state networks
- training set
- pattern recognition
- recurrent neural networks
- online learning
- batch processing
- test set
- neural network model
- multilayer perceptron
- hidden markov models
- inductive inference
- multi layer perceptron
- radial basis function network
- recurrent networks