Training of supervised neural networks via a nonlinear primal-dual interior-point method.
Theodore B. TrafalisNicolas P. CouellanSébastien C. BertrandPublished in: ICNN (1997)
Keyphrases
- primal dual
- interior point methods
- neural network
- linear programming
- convex optimization
- linear program
- training process
- linear programming problems
- interior point algorithm
- approximation algorithms
- convex programming
- interior point
- supervised learning
- convergence rate
- variational inequalities
- quadratic programming
- semidefinite programming
- simplex method
- linear systems
- semidefinite
- inequality constraints
- algorithm for linear programming
- back propagation
- learning algorithm
- training set
- training data
- analytic center
- machine learning
- nonlinear programming
- semi supervised
- sufficient conditions
- higher order
- lower bound