Primal neural networks for solving convex quadratic programs
Youshen Xia, Jun Wang · 2003
We propose two primal neural networks with globally exponential stability for solving quadratic programming problems. Both the self-feedback and lateral connection matrices in the present network are compared with the Bonzerdoum-Pattison network (1993). Moreover, the size of the proposed networks is same as that of the original problem, smaller than that of primal-dual networks.