Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods.
Siu-Yeung ChoTommy W. S. ChowPublished in: Neurocomputing (1999)
Keyphrases
- multilayer neural networks
- optimization methods
- least squares
- learning algorithm
- learning rate
- simulated annealing
- optimization method
- unconstrained optimization
- optimization problems
- stochastic methods
- machine learning
- supervised learning
- efficient optimization
- optical flow
- robust estimation
- direct optimization
- optimization approaches
- continuous optimization
- particle swarm
- rbf network
- levenberg marquardt
- convex relaxation
- global convergence
- bundle adjustment
- convergence rate
- trust region
- loss function
- bayesian network models
- gradient method
- feature selection
- training samples
- evolutionary algorithm
- active learning