Multilayer perceptron for nonlinear programming
Computers and Operations Research
Global exponential convergence of recurrent neural networks with variable delays
Theoretical Computer Science
Exponential Periodicity of Continuous-time and Discrete-Time Neural Networks with Delays
Neural Processing Letters
Exponential periodicity and stability of delayed neural networks
Mathematics and Computers in Simulation
Global robust stability of delayed neural networks with a class of general activation functions
Journal of Computer and System Sciences
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
International Journal of Systems Science
Improved Results on Solving Quadratic Programming Problems with Delayed Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
New delay-dependent exponential stability criteria of BAM neural networks with time delays
Mathematics and Computers in Simulation
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
A delayed projection neural network for solving linear variational inequalities
IEEE Transactions on Neural Networks
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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
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This paper presents a neural-network computational scheme with time-delay consideration for solving convex quadratic programming problems. Based on some known results, a delay margin is explicitly determined for the stability of the neural dynamics, under which the states of the neural network does not oscillate. The configuration of the proposed neural network is provided. Operational characteristics of the neural network are demonstrated via numerical examples