Novel artificial neural network with simulation aspects for solving linear and quadratic programming problems

DOI10.1016/j.camwa.2006.10.022zbMath1149.90113OpenAlexW2073353301MaRDI QIDQ2373832

Yanyan Li

Publication date: 16 July 2007

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2006.10.022

zbMATH Keywords

global convergencelinear programmingquadratic programmingdynamical systemsartificial neural networks

Mathematics Subject Classification ID

Quadratic programming (90C20) Linear programming (90C05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

A new neural network for solving quadratic programming problems with equality and inequality constraints ⋮ Rotorcraft parameter estimation using radial basis function neural network ⋮ A novel recurrent nonlinear neural network for solving quadratic programming problems

Cites Work

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• Multilayer perceptron for nonlinear programming
• An efficient simplified neural network for solving linear and quadratic programming problems
• An approach to nonlinear programming
• Numerical solutions for constrained quadratic problems using high-performance neural networks
• A Recurrent Neural Network for Nonlinear Convex Optimization Subject to Nonlinear Inequality Constraints
• A projection neural network and its application to constrained optimization problems

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