Neural Networks: Are Stochastic Global Optimization Methods Worth the Trouble?
Lonnie HammB. Wade BrorsenMartin T. HaganPublished in: ICMLA (2002)
Keyphrases
- optimization methods
- neural network
- stochastic methods
- stage stochastic programs
- optimization method
- optimization approaches
- simulated annealing
- optimization problems
- unconstrained optimization
- pattern recognition
- global convergence
- continuous optimization
- efficient optimization
- rbf network
- particle swarm
- trust region
- genetic algorithm
- neural network model
- inverse problems
- hopfield neural network
- gradient method
- evolutionary algorithm
- artificial neural networks
- direct optimization
- convex relaxation
- radial basis function
- monte carlo
- quasi newton
- support vector
- bayesian network models
- information retrieval