Neural networks for solving least absolute and related problems

Youshen Xia, Jun Wang

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This paper presents two networks, in which one solves least absolute deviations problems and another solves related problems and shows that they globally converge to exact solutions. The proposed neural networks have smaller size than existing neural networks [9], and do not have difficulty in selecting penalty parameters, in contrast to existing neural networks [11].

Original languageEnglish
Pages (from-to)13-21
Number of pages9
JournalNeurocomputing
Volume19
Issue number1-3
DOIs
Publication statusPublished - 21 Apr 1998
Externally publishedYes

Keywords

  • L-norm minimization
  • Neural networks

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