Training neural networks using monotone variational inequality.
Chen XuXiuyuan ChengYao XiePublished in: CoRR (2022)
Keyphrases
- variational inequalities
- neural network
- training process
- nonlinear complementarity problem
- training algorithm
- feedforward neural networks
- variational inequality problems
- sensitivity analysis
- convex sets
- artificial neural networks
- primal dual
- hilbert spaces
- fixed point
- nash equilibrium
- back propagation
- complementarity problems
- boundary conditions
- newton method
- training samples
- training set
- boundary value problem
- penalty term
- neural network training
- traffic assignment
- objective function