A high performance neural network for solving quadratic programming with hybrid constraints

A high performance neural network is proposed in this paper for solving quadratic programming problems with hybrid constraints. Comparing with the existing neural networks for solving such problems, the proposed neural network has fewer neurons and an one-layer architecture. The proposed neural network is proven to be global convergence. Furthermore, illustrative examples are given to show the effectiveness of the proposed neural network.