Continuous and discrete least-squares approximation by radial basis functions on spheres.
Quoc Thong Le GiaFrancis J. NarcowichJoseph D. WardHolger WendlandPublished in: J. Approx. Theory (2006)
Keyphrases
- radial basis function
- least squares
- continuous functions
- activation function
- rbf neural network
- rbf network
- discrete space
- neural network
- continuous domains
- function approximation
- artificial neural networks
- continuous variables
- basis functions
- multilayer perceptron
- support vector machine svm
- support vector
- hidden layer
- continuous data
- discrete data
- orthogonal least squares
- support vector machine
- radial basis function neural network
- multi layer perceptron
- feed forward
- learning rate
- data sets
- optical flow
- data mining
- generalization capabilities
- compactly supported
- gaussian convolution