Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.
Jun LiHongfu LiuYue WuYun FuPublished in: CoRR (2017)
Keyphrases
- recurrent neural networks
- convergence analysis
- neural network
- global convergence
- feed forward
- recurrent networks
- reservoir computing
- echo state networks
- optimality conditions
- artificial neural networks
- convergence rate
- approximation methods
- nonlinear dynamic systems
- total variation
- convergence speed
- dynamical systems
- simulated annealing
- search space
- search algorithm