A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints.
Zhishan GuoQingshan LiuJun WangPublished in: IEEE Trans. Neural Networks (2011)
Keyphrases
- equality constraints
- complex valued
- recurrent neural networks
- convex quadratic optimization
- nonlinear programming
- equality and inequality constraints
- quadratic programming problems
- linear constraints
- inequality constraints
- real valued
- constrained optimization problems
- neural network
- constrained optimization
- optimization problems
- feed forward
- hidden layer
- recurrent networks
- decomposition algorithm
- quadratic programming
- artificial neural networks
- optimization algorithm
- linear programming
- activation function
- decomposition method
- multi valued
- penalty function
- optimal solution
- optimization method
- linear equations
- variational inequalities
- linear systems