A Cooperative Recurrent Neural Network for Solving L1 Estimation Problems with General Linear Constraints

DOI10.1162/neco.2007.10-06-376zbMath1138.68049OpenAlexW2009765585WikidataQ43826420 ScholiaQ43826420MaRDI QIDQ5453543

Youshen Xia, Mohamed S. Kamel

Publication date: 2 April 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2007.10-06-376

zbMATH Keywords

computational complexity

Mathematics Subject Classification ID

Point estimation (62F10) Learning and adaptive systems in artificial intelligence (68T05) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

• CMNN: Cooperative modular neural networks
• Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction
• A Lagrangian finite generation technique for solving linear-quadratic problems in stochastic programming
• Neural networks for solving systems of linear equations. II. Minimax and least absolute value problems
• Minimization Techniques for Piecewise Differentiable Functions: The $l_1$ Solution to an Overdetermined Linear System
• The Linear l₁ Estimator and the Huber M-Estimator
• Performance Analysis of Minimum<tex>$ell_1$</tex>-Norm Solutions for Underdetermined Source Separation
• A new regression estimator with neural network realization

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