A Novel Method to Handle Inequality Constraints for Convex Programming Neural Network
Neural Processing Letters
The BSB neural network in the convex body spanned by the prototype patterns for associative memory
Applied Mathematics and Computation
Journal of Global Optimization
An Extended Projection Neural Network for Constrained Optimization
Neural Computation
Computers & Mathematics with Applications
A new neural network for solving nonlinear projection equations
Neural Networks
Discrete neural network for solving general quadratic programming problems
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
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
Solving convex optimization problems using recurrent neural networks in finite time
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On a Stabilization Problem of Nonlinear Programming Neural Networks
Neural Processing Letters
A new one-layer neural network for linear and quadratic programming
IEEE Transactions on Neural Networks
A new neural network for solving nonlinear programming problems
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
A novel neural network for solving singular nonlinear convex optimization problems
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
A capable neural network model for solving the maximum flow problem
Journal of Computational and Applied Mathematics
A neural network for the linear complementarity problem
Mathematical and Computer Modelling: An International Journal
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
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A new neural network for solving linear and quadratic programming problems is presented and is shown to be globally convergent. The new neural network improves existing neural networks for solving these problems: it avoids the parameter turning problem, it is capable of achieving the exact solutions, and it uses only simple hardware in which no analog multipliers for variables are required. Furthermore, the network solves both the primal problems and their dual problems simultaneously