Adaptive Coefficient Designs for Nonlinear Activation Function and Its Application to Zeroing Neural Network for Solving Time-Varying Sylvester Equation.
Zhen JianLin XiaoKenli LiQiuyue ZuoYongsheng ZhangPublished in: J. Frankl. Inst. (2020)
Keyphrases
- activation function
- neural network
- nonlinear equations
- feed forward neural networks
- adaptive neural
- back propagation
- feed forward
- hidden layer
- artificial neural networks
- nonlinear functions
- neural nets
- hidden neurons
- multilayer perceptron
- single hidden layer
- learning rate
- sigmoid function
- radial basis function
- network architecture
- feedforward neural networks
- backpropagation algorithm
- hidden nodes
- nonlinear systems
- pattern recognition
- recurrent neural networks
- single layer
- fuzzy neural network
- multi layer perceptron
- basis functions
- fuzzy logic
- neural network model
- trained neural network
- dimensionality reduction