TY - GEN
T1 - A Dual neural network solving quadratic programming problems
AU - Wang, Jun
AU - Xia, Youshen
PY - 1999/7
Y1 - 1999/7
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. © 1999 IEEE
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. © 1999 IEEE
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
U2 - 10.1109/IJCNN.1999.831564
DO - 10.1109/IJCNN.1999.831564
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0-7803-5529-6
VL - 1
SP - 588
EP - 593
BT - The 1999 International Joint Conference on Neural Networks Proceedings
PB - IEEE
T2 - 1999 International Joint Conference on Neural Networks (IJCNN'99)
Y2 - 10 July 1999 through 16 July 1999
ER -