Solving convex optimization problems using recurrent neural networks in finite time.
Long ChengZeng-Guang HouNoriyasu HommaMin TanMadan M. GuptaPublished in: IJCNN (2009)
Keyphrases
- recurrent neural networks
- convex optimization problems
- convex optimization
- optimization problems
- neural network
- feed forward
- primal dual
- structured sparsity
- interior point methods
- learning problems
- recurrent networks
- reservoir computing
- cascade correlation
- artificial neural networks
- echo state networks
- linear program
- computational complexity
- decision making