A nonlinear projection neural network for solving interval quadratic programming problems and its stability analysis

DOI10.1155/2010/403749zbMath1195.90072OpenAlexW2053576936WikidataQ58653064 ScholiaQ58653064MaRDI QIDQ1958828

Huaiqin Wu, Feng Tao, Leijie Qin, Rui Shi, Li-Jun He

Publication date: 30 September 2010

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/225665

Mathematics Subject Classification ID

Quadratic programming (90C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (6)

A system of fractional-order interval projection neural networks ⋮ Solving time-varying linear inequalities by finite-time convergent zeroing neural networks ⋮ A capable neural network model for solving the maximum flow problem ⋮ A class of global fractional-order projective dynamical systems involving set-valued perturbations ⋮ Stability and synchronization of delayed fractional-order projection neural network with piecewise constant argument of mixed type ⋮ Global fractional-order projective dynamical systems

Cites Work

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• A feedback neural network for solving convex constraint optimization problems
• 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
• A new class of interval projection neural networks for solving interval quadratic program

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