Limitations of the approximation capabilities of neural networks with one hidden layer.
Charles K. ChuiXin LiHrushikesh Narhar MhaskarPublished in: Adv. Comput. Math. (1996)
Keyphrases
- hidden layer
- neural network
- back propagation
- activation function
- feed forward
- multilayer perceptron
- feedforward neural networks
- artificial neural networks
- recurrent neural networks
- feed forward neural networks
- radial basis function
- neural nets
- backpropagation algorithm
- learning rate
- rbf neural network
- connection weights
- single hidden layer
- training algorithm
- number of hidden layers
- neural network structure
- radial basis function neural network
- fuzzy neural network
- hidden neurons
- pattern recognition
- genetic algorithm
- rbfnn
- single layer
- hidden nodes
- error back propagation
- bp neural network
- output layer
- latent variables
- fuzzy logic
- feature selection
- network architecture
- training process
- multi layer
- prediction model
- neural network model
- feature space
- number of hidden units
- learning algorithm