Construction of radial basis function neural networks via a minimization of its localized generalization error.
Daniel S. YeungBinbin SunWing W. Y. NgPatrick P. K. ChanPublished in: ICMLC (2010)
Keyphrases
- generalization error
- radial basis function neural network
- cross validation
- active learning
- upper bound
- model selection
- learning algorithm
- rbfnn
- sample size
- training set
- pattern classification
- radial basis function
- training data
- training error
- supervised learning
- objective function
- rbf network
- back propagation
- neural network
- sensitivity analysis
- multilayer perceptron
- lower bound
- pattern recognition
- machine learning
- rbf neural network
- face recognition