Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering.
Alberto BemporadPublished in: CoRR (2021)
Keyphrases
- kalman filtering
- recurrent neural networks
- recurrent networks
- feedforward neural networks
- echo state networks
- kalman filter
- neural network
- complex valued
- neural network structure
- measurement noise
- video tracking
- reservoir computing
- training process
- feed forward
- hidden layer
- risk minimization
- neuro fuzzy
- training algorithm
- multi frame
- particle filtering
- real valued
- basis functions
- training set
- multi layer perceptron
- parameter selection
- scale space
- artificial neural networks
- image sequences
- image processing
- feature selection