Comparative analysis of activation functions in neural networks.
Firuz KamalovAmril NazirMurodbek SafaralievAswani Kumar CherukuriRita ZgheibPublished in: ICECS (2021)
Keyphrases
- comparative analysis
- activation function
- neural network
- feed forward neural networks
- back propagation
- feed forward
- hidden layer
- artificial neural networks
- connection weights
- neural nets
- neural architecture
- hidden neurons
- learning rate
- feedforward neural networks
- multilayer perceptron
- network architecture
- multi layer perceptron
- radial basis function
- basis functions
- pattern recognition
- semi quantitative
- neural network model
- training phase
- hidden nodes
- artificial intelligence
- learning algorithm
- fuzzy logic
- global exponential stability
- feature selection
- genetic algorithm