Robustness of convergence in finite time for linear programming neural networks.
Mauro Di MarcoMauro FortiMassimo GrazziniPublished in: Int. J. Circuit Theory Appl. (2006)
Keyphrases
- linear programming
- neural network
- weight update
- linear program
- pattern recognition
- artificial neural networks
- dynamic programming
- genetic algorithm
- quadratic programming
- nonlinear programming
- neural nets
- fuzzy logic
- back propagation
- recurrent neural networks
- primal dual
- iterative algorithms
- convergence rate
- computational efficiency
- optimal solution
- training data
- dual variables
- high robustness
- adaptive resonance theory
- feasible solution
- network architecture
- training process
- multi layer
- integer programming
- self organizing maps
- lower bound
- learning algorithm
- machine learning