Benchmarking the selection of the hidden-layer weights in extreme learning machines.
Enrique RomeroPublished in: IJCNN (2017)
Keyphrases
- hidden layer
- extreme learning machines
- output layer
- connection weights
- hidden nodes
- back propagation
- single hidden layer
- neural network
- feed forward
- hidden neurons
- learning rate
- radial basis function
- training error
- feed forward neural networks
- activation function
- artificial neural networks
- feedforward neural networks
- multilayer perceptron
- recurrent neural networks
- number of hidden units
- hidden units
- rbf neural network
- neural nets
- latent variables
- extreme learning machine
- linear combination
- rbf network
- fuzzy neural network
- basis functions
- number of hidden layers
- weight vector
- neural network model
- input output
- support vector
- learning algorithm
- multi layer perceptron
- bp neural network
- feature vectors
- reinforcement learning
- image segmentation