Two-hidden-layer extreme learning machine for regression and classification.
Bo-Yang QuB. F. LangJing J. LiangA. Kai QinOscar D. CrisallePublished in: Neurocomputing (2016)
Keyphrases
- extreme learning machine
- hidden layer
- single hidden layer
- feed forward neural networks
- feedforward neural networks
- hidden nodes
- neural network
- activation function
- support vector regression
- back propagation
- single layer
- feed forward
- support vector
- hidden neurons
- recurrent neural networks
- gaussian processes
- rbf neural network
- radial basis function
- training algorithm
- support vector machine
- artificial neural networks
- generalization ability
- pattern recognition
- radial basis function neural network
- support vector machine svm
- learning rate
- multilayer perceptron
- learning algorithm
- neural nets
- regression model
- feature extraction
- feature vectors
- machine learning
- model selection
- multi layer
- basis functions
- markov networks
- training set
- training process
- feature selection
- pattern classification