Another Simple Recurrent Neural Network for Quadratic and Linear Programming
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
IEEE Transactions on Neural Networks
A delayed projection neural network for solving linear variational inequalities
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
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
A new one-layer neural network for linear and quadratic programming
IEEE Transactions on Neural Networks
Design of recurrent neural networks for solving constrained least absolute deviation problems
IEEE Transactions on Neural Networks
A capable neural network model for solving the maximum flow problem
Journal of Computational and Applied Mathematics
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In this letter, the delayed projection neural network for solving convex quadratic programming problems is proposed. The neural network is proved to be globally exponentially stable and can converge to an optimal solution of the optimization problem. Three examples show the effectiveness of the proposed network