Primal neural networks for solving convex quadratic programs

Youshen Xia, Jun Wang

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

In this paper, we propose two primal neural networks with globally exponential stability for solving quadratic programming problems. Compared with Bouzerdoum and Pattison's network, there is no choice of both the self-feedback and lateral connection matrices in the present network. Moreover, the size of the proposed networks is same as that of the original problem, smaller than that of primal-dual networks.

Original languageEnglish
Pages582-587
Number of pages6
Publication statusPublished - 1999
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 10 Jul 199916 Jul 1999

Conference

ConferenceInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA
Period10/07/9916/07/99

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