Convergence of learning algorithms with constant learning rates.
Chung-Ming KuanKurt HornikPublished in: IEEE Trans. Neural Networks (1991)
Keyphrases
- learning rate
- convergence rate
- learning algorithm
- convergence theorem
- rapid convergence
- convergence speed
- update rule
- adaptive learning rate
- training data
- machine learning algorithms
- machine learning
- uniform convergence
- learning theory
- delta bar delta
- backpropagation algorithm
- rbf network
- global optimization
- learning problems
- training samples
- support vector
- genetic algorithm