A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function.
Namig J. GuliyevVugar E. IsmailovPublished in: Neural Comput. (2016)
Keyphrases
- output layer
- hidden layer
- feed forward
- activation function
- neural network
- input output
- back propagation
- artificial neural networks
- multilayer perceptron
- learning rate
- number of hidden layers
- hidden nodes
- feedforward neural networks
- rbf network
- rbf neural network
- recurrent neural networks
- radial basis function
- feed forward neural networks
- multi layer perceptron
- neural nets
- rbfnn
- sensitivity analysis
- latent variables
- neural network model
- basis functions
- reinforcement learning
- clustering algorithm