Two-hidden-layer feed-forward networks are universal approximators: A constructive approach.
Eduardo Paluzo-HidalgoRocío González-DíazMiguel A. Gutiérrez-NaranjoPublished in: Neural Networks (2020)
Keyphrases
- hidden layer
- back propagation
- feed forward
- neural network
- learning rate
- artificial neural networks
- activation function
- multilayer perceptron
- feedforward neural networks
- recurrent neural networks
- neural nets
- rbf neural network
- radial basis function
- feed forward neural networks
- hidden nodes
- number of hidden layers
- fuzzy neural network
- latent variables
- radial basis function neural network
- bp neural network
- hidden units
- single layer
- probability distribution
- extreme learning machine
- output layer
- decision making