Literature DB >> 17131675

Solving quadratic programming problems by delayed projection neural network.

Yongqing Yang, Jinde Cao.   

Abstract

In this letter, the delayed projection neural network for solving convex quadratic programming problems is proposed. The neural network is proved to be globally exponentially stable and can converge to an optimal solution of the optimization problem. Three examples show the effectiveness of the proposed network.

Mesh:

Year:  2006        PMID: 17131675     DOI: 10.1109/TNN.2006.880579

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


  1 in total

1.  The general critical analysis for continuous-time UPPAM recurrent neural networks.

Authors:  Chen Qiao; Wen-Feng Jing; Jian Fang; Yu-Ping Wang
Journal:  Neurocomputing       Date:  2016-01-29       Impact factor: 5.719

  1 in total

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