Using radial basis functions to approximate a function and its error bounds.
James A. LeonardMark A. KramerLyle H. UngarPublished in: IEEE Trans. Neural Networks (1992)
Keyphrases
- error bounds
- radial basis function
- rbf neural network
- theoretical analysis
- function approximation
- rbf network
- worst case
- basis functions
- artificial neural networks
- support vector machine svm
- support vector
- multilayer perceptron
- radial basis function neural network
- multi layer perceptron
- neural network
- generalization capabilities
- wavelet synopses
- activation function
- orthogonal least squares
- hidden layer
- similarity measure
- multiresolution
- search algorithm
- compactly supported
- decision trees