Literature DB >> 18255604

A new neural network for solving linear programming problems and its application.

Y Xia1.   

Abstract

Presents a new neural network which improves existing neural networks for solving general linear programming problems. The network, without setting parameter, uses only simple hardware in which no analog multipliers are required, and is proved to be completely stable to the exact solutions. Moreover, using this network the author can solve linear programming problems and its dual simultaneously, and cope with problems with nonunique solutions whose set is allowed to be unbounded.

Year:  1996        PMID: 18255604     DOI: 10.1109/72.485686

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  2 in total

1.  Constrained least absolute deviation neural networks.

Authors:  Z Wang; B S Peterson
Journal:  IEEE Trans Neural Netw       Date:  2008-02

2.  Cooperative recurrent modular neural networks for constrained optimization: a survey of models and applications.

Authors:  Mohamed S Kamel; Youshen Xia
Journal:  Cogn Neurodyn       Date:  2008-02-01       Impact factor: 5.082

  2 in total

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