Correlations Between Input and Output Units in Neural Networks.
Norman D. CookPublished in: Cogn. Sci. (1995)
Keyphrases
- hidden units
- neural network
- desired output
- rbf network
- feed forward neural networks
- radial basis function
- input variables
- hidden layer
- activation function
- input data
- nonlinear functions
- back propagation
- pattern recognition
- genetic algorithm
- multiple output
- neural network model
- number of hidden units
- multilayer perceptron
- neural nets
- bayes rule
- fuzzy systems
- variable selection
- database
- multi layer
- training algorithm
- associative memory
- recurrent neural networks
- correlation analysis
- feed forward
- self organizing maps
- control signals
- artificial neural networks
- learning algorithm