Dual neural network solving quadratic programming problems

Jun Wang; Youshen Xia

Dual neural network solving quadratic programming problems

Jun Wang, Youshen Xia

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-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 language	English
Title of host publication	Proceedings of the International Joint Conference on Neural Networks
Publisher	IEEE
Pages	588-593
Volume	1
Publication status	Published - 1999
Externally published	Yes
Event	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 10 Jul 1999 → 16 Jul 1999

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Name
Volume	1

Conference

Conference	International Joint Conference on Neural Networks (IJCNN'99)
City	Washington, DC, USA
Period	10/07/99 → 16/07/99

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@inproceedings{ece868ebe339405cbd41c0167fae40f5,

title = "Dual neural network solving quadratic programming problems",

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.",

author = "Jun Wang and Youshen Xia",

year = "1999",

language = "English",

volume = "1",

publisher = "IEEE",

pages = "588--593",

booktitle = "Proceedings of the International Joint Conference on Neural Networks",

address = "United States",

note = "International Joint Conference on Neural Networks (IJCNN'99) ; Conference date: 10-07-1999 Through 16-07-1999",

}

TY - GEN

T1 - Dual neural network solving quadratic programming problems

AU - Wang, Jun

AU - Xia, Youshen

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033313388&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033313388&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 1

SP - 588

EP - 593

BT - Proceedings of the International Joint Conference on Neural Networks

PB - IEEE

T2 - International Joint Conference on Neural Networks (IJCNN'99)

Y2 - 10 July 1999 through 16 July 1999

ER -

Dual neural network solving quadratic programming problems

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