On Feynman-Kac training of partial Bayesian neural networks.
Zheng ZhaoSebastian MairThomas B. SchönJens SjölundPublished in: CoRR (2023)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- multi layer perceptron
- feed forward neural networks
- training phase
- bayesian estimation
- neural network model
- neural network training
- backpropagation algorithm
- pattern recognition
- test set
- training set
- recurrent networks
- data driven
- activation function
- artificial neural networks
- recurrent neural networks
- multilayer perceptron
- fault diagnosis
- back propagation
- bayesian decision
- error back propagation
- bayesian networks
- training examples
- online learning
- network architecture
- posterior distribution
- training patterns
- associative memory
- bayesian analysis
- neural network structure
- supervised learning
- fuzzy logic