A semi-free weighting matrices approach for neutral-type delayed neural networks
Journal of Computational and Applied Mathematics
Synchronization between Two Different Chaotic Neural Networks with Fully Unknown Parameters
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
A new projection-based neural network for constrained variational inequalities
IEEE Transactions on Neural Networks
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 - Special issue on game theory
The neural network for solving convex nonlinear programming problem
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Hi-index | 0.00 |
In this paper, we present a delayed neural network approach to solve linear projection equations. The Lyapunov-Krasovskii theory for functional differential equations and the linear matrix inequality (LMI) approach are employed to analyze the global asymptotic stability and global exponential stability of the delayed neural network. Compared with the existing linear projection neural network, theoretical results and illustrative examples show that the delayed neural network can effectively solve a class of linear projection equations and some quadratic programming problems.