A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
Peter AuerHarald BurgsteinerWolfgang MaassPublished in: Neural Networks (2008)
Keyphrases
- single layer
- learning rules
- neural network
- hopfield neural network
- multi layer
- neural nets
- biologically inspired
- multiple layers
- artificial neural networks
- activation function
- feed forward neural networks
- scalable video coding
- decision making
- learning algorithm
- multilayer perceptron
- back propagation
- markov random field
- hidden layer
- transfer function
- cellular neural networks
- expert systems