A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems.
Jein-Shan ChenChun-Hsu KoShaohua PanPublished in: Inf. Sci. (2010)
Keyphrases
- complementarity problems
- variational inequalities
- fischer burmeister
- nonlinear complementarity problem
- sensitivity analysis
- linear complementarity problem
- primal dual
- convex sets
- fixed point
- newton method
- nash equilibrium
- gauss newton
- boundary conditions
- artificial neural networks
- low dimensional
- least squares
- data points