System optimization with artificial neural networks

A neural network with a three-layer feedback topology is proposed for solving continuous convex optimization problems. Unconstrained and constrained optimization and relationships between neural networks and optimization theory are addressed. Computational results are presented to show the usefulness of the proposed approach.<>