Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers.
Yoshifusa ItoPublished in: Neural Comput. (1994)
Keyphrases
- neural network
- activation function
- multi layer
- multiple layers
- single layer
- hidden layer
- artificial neural networks
- pattern recognition
- back propagation
- approximation algorithms
- feed forward
- recurrent neural networks
- neural nets
- hidden units
- fuzzy logic
- multilayer perceptron
- competitive learning
- associative memory
- fully connected
- feed forward neural networks
- learning capabilities
- fuzzy systems
- cellular neural networks
- queueing networks
- training algorithm
- belief networks
- neural network model
- error bounds
- closed form
- network architecture
- transfer function
- image sequences
- training process
- rule extraction
- bayesian networks
- radial basis function
- data sets