A Convergence Rate for Manifold Neural Networks.
Joyce ChewDeanna NeedellMichael PerlmutterPublished in: CoRR (2022)
Keyphrases
- convergence rate
- neural network
- step size
- convergence speed
- learning rate
- global convergence
- gradient method
- fuzzy logic
- back propagation
- wavelet neural network
- numerical stability
- mutation operator
- primal dual
- gravitational search algorithm
- artificial neural networks
- training algorithm
- neural network model
- feature space
- activation function
- recurrent neural networks