Neural networks for solving least absolute and related problems-Reference-Cited by-同舟云学术

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Neural networks for solving least absolute and related problems

Published:1998-04 Issue:1-3 Volume:19 Page:13-21
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Xia Youshen,Wang Jun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference14 articles.

1. Robust Statistics;Huber,1981

2. Finite algorithms in optimization and Data Analysis;Osborne,1985

3. Least Absolute Deviations Theory Applications Algorithms;Bloomfield,1983

4. A. Dax, The L solution of linear equations subject to linear constraints, SIAM Sci. Comput. 10(10) 328.

5. Neural computation of decisions in optimization problems;Hopfield;Biol. Cybernet.,1986

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

2. Alternative continuous- and discrete-time neural networks for image restoration;Network: Computation in Neural Systems;2019-10-02

3. One-layer neural network for solving least absolute deviation problem with box and equality constraints;Neurocomputing;2019-02

4. Simplified neural network for generalized least absolute deviation;Neural Computing and Applications;2017-06-23

5. A new neural network for l1-norm programming;Neurocomputing;2016-08

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