A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality.
Zhijun ZhangYeyun LuLunan ZhengShuai LiZhuliang YuYuanqing LiPublished in: IEEE Trans. Autom. Control. (2018)
Keyphrases
- quadratic program
- quadratic programming
- neural network
- linear constraints
- convex optimization
- linear program
- maximum margin
- linear programming
- approximation algorithms
- semi infinite programming
- fractional programming
- mixed integer
- multicommodity flow problems
- saddle point
- objective function
- linearly constrained
- highly non linear
- back propagation
- convex sets
- radial basis function
- convex quadratic programming
- constrained problems
- quadratic function
- finite dimensional
- semidefinite
- neural network model
- knn
- artificial neural networks
- set of linear equations
- piecewise linear
- convex quadratic
- transfer function
- algebraic equations
- support vector machine
- feasible solution