A dual neural network solving quadratic programming problems
Jun Wang, Youshen Xia · 2003
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.