Finite time convergent recurrent neural network for variational inequality problems subject to equality constraints.
Robin F. ConchasAlexander G. LoukianovEdgar N. SánchezAlma Y. AlanisPublished in: J. Frankl. Inst. (2024)
Keyphrases
- equality constraints
- recurrent neural networks
- complex valued
- variational inequality problems
- variational inequalities
- nonlinear programming
- neural network
- quadratic programming problems
- feed forward
- real valued
- recurrent networks
- decomposition algorithm
- artificial neural networks
- hidden layer
- convex sets
- convex quadratic optimization
- objective function
- sensitivity analysis
- fixed point
- primal dual
- activation function
- multi valued
- finite number
- optimal solution
- linear constraints
- linear equations
- nash equilibrium
- constrained optimization problems
- linear programming
- fuzzy logic
- evolutionary algorithm