Training and Generalization Errors for Underparameterized Neural Networks.
Daniel M. XavierLudovic ChamoinLaurent FribourgPublished in: IEEE Control. Syst. Lett. (2023)
Keyphrases
- neural network
- training algorithm
- training process
- back propagation
- neural network training
- feedforward neural networks
- feed forward neural networks
- pattern recognition
- learning machines
- genetic algorithm
- fuzzy logic
- error back propagation
- neural network structure
- multi layer perceptron
- training patterns
- supervised learning
- recurrent neural networks
- data sets
- hidden layer
- backpropagation algorithm
- multilayer perceptron
- training set
- training error
- artificial neural networks
- learning rules
- multilayer neural network
- rule extraction
- fault diagnosis
- network architecture
- training data
- fuzzy systems
- feed forward
- radial basis function