A new delayed projection neural network for solving quadratic programming problems subject to linear constraints

DOI10.1016/j.amc.2012.09.047zbMath1309.90073OpenAlexW2023600261MaRDI QIDQ2019000

Jiuxiao Niu, De-You Liu

Publication date: 26 March 2015

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2012.09.047

zbMATH Keywords

quadratic programmingtime delayslinear constraintsglobally exponentially stableprojection neural networks

Mathematics Subject Classification ID

Quadratic programming (90C20)

Related Items (5)

Improved stability criteria for a class of neural networks with variable delays and impulsive perturbations ⋮ Stable analysis for neural networks: set-valued mapping method ⋮ A novel neural network for solving semidefinite programming problems with some applications ⋮ A novel neurodynamic reaction-diffusion model for solving linear variational inequality problems and its application ⋮ Stability analysis of time-varying delay neural network for convex quadratic programming with equality constraints and inequality constraints

Cites Work

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• A feedback neural network for solving convex constraint optimization problems
• Introduction to functional differential equations
• A simple and high performance neural network for quadratic programming problems.
• A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations
• New delay-dependent robust stability criterion for uncertain neural networks with time-varying delays
• Solving linear variational inequalities by projection neural network with time-varying delays

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