A simplified recurrent neural network for pseudoconvex optimization subject to linear equality constraints.
Sitian QinDejun FanPeng SuQinghe LiuPublished in: Commun. Nonlinear Sci. Numer. Simul. (2014)
Keyphrases
- equality constraints
- complex valued
- recurrent neural networks
- convex quadratic optimization
- nonlinear programming
- equality and inequality constraints
- real valued
- inequality constraints
- linear constraints
- quadratic programming problems
- neural network
- artificial neural networks
- decomposition algorithm
- feed forward
- recurrent networks
- optimization problems
- optimization algorithm
- quadratic program
- constrained optimization problems
- hidden layer
- optimal solution
- evolutionary algorithm
- genetic algorithm
- optimality conditions
- linear equations
- optimization method
- global convergence
- multi valued
- quadratic programming
- activation function
- constrained optimization
- learning algorithm