The Rate of Convergence of Variation-Constrained Deep Neural Networks.
Gen LiYuantao GuJie DingPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- weight update
- neural network model
- number of iterations required
- convergence rate
- competitive learning
- genetic algorithm
- artificial neural networks
- lyapunov theory
- iterative algorithms
- training process
- multi layer
- recurrent neural networks
- multilayer perceptron
- self organizing maps
- back propagation
- associative memory
- neural nets
- feed forward
- global convergence
- hopfield neural network
- stochastic approximation
- fuzzy logic
- case study