Combining neural networks for function approximation under conditions of sparse data: the biased regression approach.
Danaipong ChetchotsakJanet M. TwomeyPublished in: Int. J. Gen. Syst. (2007)
Keyphrases
- function approximation
- sparse data
- neural network
- radial basis function
- function approximators
- reinforcement learning
- high dimensional
- temporal difference learning algorithms
- learning tasks
- mackey glass
- sufficient conditions
- model selection
- back propagation
- pattern recognition
- support vector regression
- support vector
- rbf network
- temporal difference
- hidden layer
- data sets
- genetic algorithm
- feed forward neural networks
- computer vision
- random projections
- artificial neural networks
- support vector machine