Title :
A dual neural network solving quadratic programming problems
Author :
Wang, Jun ; Xia, Youshen
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Abstract :
We propose a dual neural network with globally exponential stability for solving quadratic programming problems with unique solutions. Compared with the Bouzerdoum-Pattison network (1993), 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
Keywords :
asymptotic stability; convergence of numerical methods; mathematics computing; matrix algebra; neural nets; quadratic programming; Bouzerdoum-Pattison network; convergence; dual neural network; exponential stability; lateral connection matrices; quadratic programming; self-feedback; Automation; Convergence; Design engineering; Function approximation; Hopfield neural networks; Linear matrix inequalities; Neural networks; Quadratic programming; Regression analysis; Stability;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831564
