Letter to the Editor: A DISCRETE-TIME LAGRANGIAN NETWORK FOR SOLVING CONSTRAINED QUADRATIC PROGRAMS
2000 ◽
Vol 10
(04)
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pp. 261-265
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Keyword(s):
A discrete-time recurrent neural network which is called the discrete-time Lagrangian network is proposed in this letter for solving convex quadratic programs. It is developed based on the classical Lagrange optimization method and solves quadratic programs without using any penalty parameter. The condition for the neural network to globally converge to the optimal solution of the quadratic program is given. Simulation results are presented to illustrate its performance.
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming
2008 ◽
Vol 20
(5)
◽
pp. 1366-1383
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2012 ◽
Vol 2012
◽
pp. 1-18
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Keyword(s):
2014 ◽
Vol 8
(1)
◽
pp. 723-728
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2013 ◽
Vol 860-863
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pp. 2791-2795
2014 ◽
Vol 538
◽
pp. 167-170
2006 ◽
pp. 291-296
2018 ◽
Vol 24
(3)
◽
pp. 467-489
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