A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights.
Leonardo D. TavaresRodney R. SaldanhaDouglas A. G. VieiraAdriano Chaves LisboaPublished in: IDEAL (2014)
Keyphrases
- linear combination
- output layer
- extreme learning machine
- feedforward neural networks
- feed forward neural networks
- hidden layer
- basis functions
- activation function
- input data
- hidden nodes
- back propagation
- neural network
- feed forward
- recurrent neural networks
- radial basis function
- artificial neural networks
- small number
- multilayer perceptron
- rbf neural network
- data sets
- learning rate
- training algorithm
- rbf network
- neural nets
- multi layer perceptron
- weight vector
- hidden units
- decision trees
- fuzzy neural network
- input output
- learning rules
- multi layer
- support vector regression
- learning algorithm