Approximation rates for neural networks with general activation functions.
Jonathan W. SiegelJinchao XuPublished in: Neural Networks (2020)
Keyphrases
- activation function
- neural network
- feed forward neural networks
- back propagation
- continuous functions
- feed forward
- artificial neural networks
- hidden layer
- connection weights
- neural architecture
- multilayer perceptron
- network architecture
- neural nets
- genetic algorithm
- feedforward neural networks
- fuzzy logic
- learning rate
- fuzzy neural network
- hidden nodes
- hidden neurons
- convergence rate
- basis functions
- particle swarm optimization
- expert systems
- machine learning