Evaluation of nonlinear optimization methods for the learning algorithm of artificial neural networks.
Hideyuki TakagiShigeo SakaueHayato TogawaPublished in: Systems and Computers in Japan (1992)
Keyphrases
- optimization methods
- artificial neural networks
- learning algorithm
- back propagation
- optimization method
- simulated annealing
- rbf network
- optimization problems
- stochastic methods
- neural network
- efficient optimization
- derivative free
- using artificial neural networks
- optimization approaches
- direct optimization
- unconstrained optimization
- trust region
- computational intelligence
- nonlinear optimization
- global convergence
- particle swarm
- neural network model
- gradient method
- quasi newton
- training algorithm
- training data
- search space