Improving constructive training of RBF networks through selective pruning and model selection.
Adriano L. I. OliveiraBruno J. M. MeloSilvio Romero de Lemos MeiraPublished in: Neurocomputing (2005)
Keyphrases
- model selection
- rbf network
- radial basis function
- training algorithm
- cross validation
- rbf neural network
- regression model
- mixture model
- unsupervised learning
- selection criterion
- generalization error
- back propagation
- machine learning
- marginal likelihood
- training set
- search space
- model selection criteria
- learning tasks
- artificial neural networks
- learning rate
- training process
- hidden layer
- learning algorithm
- neural network
- supervised learning
- expert systems
- bayesian information criterion