Global Optimization Methods for Designing and Training Neural Networks.
Akio YamazakiTeresa Bernarda LudermirMarcílio Carlos Pereira de SoutoPublished in: SBRN (2002)
Keyphrases
- optimization methods
- neural network
- training process
- optimization method
- training algorithm
- feedforward neural networks
- simulated annealing
- optimization approaches
- optimization problems
- neural network training
- back propagation
- backpropagation algorithm
- stochastic methods
- global convergence
- continuous optimization
- unconstrained optimization
- genetic algorithm
- quasi newton
- feed forward neural networks
- rbf network
- trust region
- efficient optimization
- multi layer perceptron
- multilayer perceptron
- feed forward
- training set
- particle swarm
- gradient method
- portfolio optimization
- supervised learning
- artificial neural networks
- direct optimization
- convex relaxation
- evolution strategy
- differential evolution
- particle swarm optimization
- objective function