Nonlinear system identification using a recurrent network in a Bayesian framework.
Alessandro BrusaferriMatteo MatteucciPietro PortolaniStefano SpinelliPublished in: INDIN (2019)
Keyphrases
- bayesian framework
- recurrent networks
- recurrent neural networks
- biologically inspired
- prior knowledge
- feed forward
- hyperparameters
- generative model
- posterior probability
- neural network
- bayesian model
- expectation maximization
- gaussian process
- bayesian formulation
- prior distribution
- maximum a posteriori
- posterior distribution
- bayesian methods
- probability density function
- probability distribution
- high dimensional
- decision trees