A combination of linear and nonlinear activation functions in neural networks for modeling a de-superheater.
Morteza MohammadzaheriLei ChenAli GhaffariJohn WillisonPublished in: Simul. Model. Pract. Theory (2009)
Keyphrases
- activation function
- neural network
- artificial neural networks
- feed forward
- hidden layer
- feed forward neural networks
- multilayer perceptron
- back propagation
- neural nets
- neural architecture
- feedforward neural networks
- connection weights
- basis functions
- hidden neurons
- learning rate
- hidden nodes
- radial basis function
- network architecture
- fuzzy neural network
- training data
- rbf neural network
- multi layer perceptron
- neural network model
- multi layer
- prior knowledge
- global exponential stability
- pattern recognition
- feature extraction
- genetic algorithm