Discrete time neural network synthesis using input and output activation functions.
Branko NovakovicPublished in: IEEE Trans. Syst. Man Cybern. Part B (1996)
Keyphrases
- activation function
- hidden units
- neural network
- desired output
- connection weights
- hidden layer
- feed forward neural networks
- output layer
- sigmoid function
- feed forward
- artificial neural networks
- back propagation
- hidden neurons
- neural nets
- hidden nodes
- neural architecture
- feedforward neural networks
- network architecture
- radial basis function
- multilayer perceptron
- input variables
- rbf network
- recurrent neural networks
- learning rate
- multi layer perceptron
- pattern recognition
- fuzzy neural network
- training phase
- fuzzy logic
- learning algorithm
- genetic algorithm
- input data
- input output
- prediction model
- neural network model