Dual neural network solving quadratic programming problems

Jun Wang, Youshen Xia

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

In this paper, we propose a dual neural network with globally exponential stability for solving quadratic programming problems with unique solutions. Compared with Bouzerdoum and Pattison's network, there is no need for choosing the self-feedback or lateral connection matrices in the present network. Moreover, the size of the dual network is less than that of the original problem.

Original languageEnglish
Pages588-593
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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