A novel gradient-based neural network for solving convex second-order cone constrained variational inequality problems.
Alireza NazemiAtiye SabeghiPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- neural network
- variational inequality problems
- variational inequalities
- multicommodity flow problems
- constrained problems
- convex sets
- nonlinear programming
- convex programming
- convex optimization
- back propagation
- artificial neural networks
- neural network model
- sensitivity analysis
- convex hull
- cutting plane method
- quadratic optimization problems
- learning algorithm