Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks.
Michael KohlerAdam KrzyzakPublished in: ISIT (2005)
Keyphrases
- feedforward neural networks
- hidden layer
- back propagation
- neural network
- single hidden layer
- recurrent neural networks
- activation function
- learning rate
- feed forward
- multilayer perceptron
- feed forward neural networks
- radial basis function
- regression function
- training algorithm
- artificial neural networks
- extreme learning machine
- neural nets
- latent variables
- rbf neural network
- output layer
- fuzzy neural network
- regression model
- learning algorithm
- support vector regression
- support vector
- machine learning