Extreme Learning Machine as a Function Approximator: Initialization of Input Weights and Biases.
Grzegorz DudekPublished in: CORES (2015)
Keyphrases
- single hidden layer
- extreme learning machine
- hidden nodes
- neural network
- function approximation
- function approximators
- feedforward neural networks
- activation function
- feed forward neural networks
- hidden layer
- support vector regression
- single layer
- back propagation
- reinforcement learning
- gaussian processes
- radial basis function
- variable selection
- weight vector
- learning tasks
- basis functions
- high dimensional