Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs).
Jassem AbbasiPål Østebø AndersenPublished in: CoRR (2022)
Keyphrases
- activation function
- neural network
- artificial neural networks
- feed forward neural networks
- back propagation
- hidden layer
- neural architecture
- feed forward
- hidden neurons
- neural nets
- multilayer perceptron
- connection weights
- radial basis function
- pattern recognition
- artificial intelligence
- feedforward neural networks
- fault diagnosis
- network architecture
- fuzzy logic
- multi layer perceptron
- feature selection
- genetic algorithm
- basis functions
- neural network model
- multi layer
- machine learning