One-layer neural network for solving least absolute deviation problem with box and equality constraints-Reference-Cited by-同舟云学术

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One-layer neural network for solving least absolute deviation problem with box and equality constraints

Published:2019-02 Issue: Volume:330 Page:483-489
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Cuiping^ORCID,Gao Xingbao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference36 articles.

1. The Stability of Dynamical Systems.;LaSalle,1976

2. An Introduction to Variational Inequalities and their Applications;Kinderlehrer,1980

3. Nonlinear Optimization.;Ruszczynshi,2005

4. Nonlinear Programming-theory and Algorithms;Bazaraa,1993

5. Minimum fuel neural networks and their applications to overcomplete signal representations;Wang;IEEE Trans. Fundam. Theory Appl.,2000

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1. A Survey of Neurodynamic Optimization;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

2. Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization;IEEE Transactions on Neural Networks and Learning Systems;2022

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