Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks.
Derrick Takeshi MirikitaniNikolay I. NikolaevPublished in: IJCNN (2007)
Keyphrases
- recurrent neural networks
- levenberg marquardt
- training algorithm
- artificial neural networks
- neural network
- back propagation
- recurrent networks
- feedforward neural networks
- echo state networks
- feed forward
- hidden layer
- feed forward neural networks
- least squares
- gauss newton
- bundle adjustment
- reservoir computing
- training process
- initial guess
- multi layer perceptron
- genetic algorithm
- bayesian inference
- multilayer perceptron
- nonlinear dynamic systems
- learning algorithm
- neural nets
- rbf network
- bp neural network
- convergence rate
- point correspondences
- data fusion
- maximum likelihood
- fuzzy logic
- face recognition