Optimal training of Mean Variance Estimation neural networks.
Laurens SluijtermanEric CatorTom HeskesPublished in: Neurocomputing (2024)
Keyphrases
- neural network
- training algorithm
- training process
- feed forward neural networks
- pattern recognition
- feedforward neural networks
- early stopping
- multi layer
- test set
- optimal control
- error back propagation
- multi layer perceptron
- artificial neural networks
- genetic algorithm
- back propagation
- worst case
- backpropagation algorithm
- hidden layer
- machine learning
- quasi linear
- neural network training
- recurrent networks
- optimal solution
- training set
- active learning
- dynamic programming
- estimation error
- parameter estimation
- neural network model
- self organizing maps