The Projection Neural Network for Solving Convex Nonlinear Programming
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A delayed lagrangian network for solving quadratic programming problems with equality constraints
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A novel neural network for nonlinear convex programming
IEEE Transactions on Neural Networks
A delayed neural network for solving linear projection equations and its analysis
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Solving Quadratic Programming Problems by Delayed Projection Neural Network
IEEE Transactions on Neural Networks
The Projection Neural Network for Solving Convex Nonlinear Programming
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Solving general convex nonlinear optimization problems by an efficient neurodynamic model
Engineering Applications of Artificial Intelligence
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In this paper, a projection neural network for solving convex optimization is investigated. Using Lyapunov stability theory and LaSalle invariance principle, the proposed network is showed to be globally stable and converge to exact optimal solution. Two examples show the effectiveness of the proposed neural network model.