Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach.
Rocío González-DíazMiguel A. Gutiérrez-NaranjoEduardo Paluzo-HidalgoPublished in: CoRR (2019)
Keyphrases
- feedforward neural networks
- hidden layer
- back propagation
- feed forward
- neural network
- recurrent neural networks
- multilayer perceptron
- learning rate
- activation function
- radial basis function
- artificial neural networks
- neural nets
- error function
- feed forward neural networks
- backpropagation algorithm
- single hidden layer
- rbf neural network
- training algorithm
- hidden neurons
- output layer
- extreme learning machine
- latent variables
- radial basis function neural network
- optimization algorithm
- fuzzy logic
- probabilistic model
- single layer
- evolutionary algorithm
- pattern recognition