Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function.
Shuai LiSanfeng ChenBo LiuPublished in: Neural Process. Lett. (2013)
Keyphrases
- activation function
- neural network
- artificial neural networks
- hidden layer
- feed forward
- back propagation
- learning rate
- feed forward neural networks
- neural nets
- network architecture
- multilayer perceptron
- sigmoid function
- feedforward neural networks
- convergence speed
- radial basis function
- fault diagnosis
- chaotic neural network
- genetic algorithm
- fuzzy logic
- evolutionary algorithm
- training data