A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation.
Qingshan LiuJun WangPublished in: IJCNN (2007)
Keyphrases
- recurrent neural networks
- activation function
- hidden layer
- feed forward
- output layer
- complex valued
- neural network
- single layer
- hidden nodes
- artificial neural networks
- feedforward neural networks
- feed forward neural networks
- back propagation
- connection weights
- neural nets
- recurrent networks
- multi layer
- extreme learning machine
- learning rate
- neural model
- fuzzy neural network
- radial basis function
- multilayer perceptron
- sigmoid function
- multi layer perceptron
- network architecture
- training algorithm
- rbf neural network
- input space
- basis functions
- probabilistic model
- artificial intelligence
- learning algorithm