Deterministic convergence of conjugate gradient method for feedforward neural networks.
Jian WangWei WuJacek M. ZuradaPublished in: Neurocomputing (2011)
Keyphrases
- feedforward neural networks
- conjugate gradient method
- convergence property
- conjugate gradient
- neural network
- back propagation
- hidden layer
- training algorithm
- convergence rate
- recurrent neural networks
- positive definite
- objective function
- faster convergence
- convergence speed
- iterative methods
- multilayer perceptron
- activation function
- artificial neural networks
- learning rate
- neural nets
- least squares