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Medientyp: E-Artikel Titel: Robustness of convergence in finite time for linear programming neural networks Beteiligte: Marco, Mauro Di; Forti, Mauro; Grazzini, Massimo Erschienen: Wiley, 2006 Erschienen in: International Journal of Circuit Theory and Applications, 34 (2006) 3, Seite 307-316 Sprache: Englisch DOI: 10.1002/cta.352 ISSN: 0098-9886; 1097-007X Schlagwörter: Applied Mathematics ; Electrical and Electronic Engineering ; Computer Science Applications ; Electronic, Optical and Magnetic Materials Entstehung: Anmerkungen: Beschreibung: AbstractA recent work has introduced a class of neural networks for solving linear programming problems, where all trajectories converge toward the global optimal solution in finite time. In this paper, it is shown that global convergence in finite time is robust with respect to tolerances in the electronic implementation, and an estimate of the allowed perturbations preserving convergence is obtained. Copyright © 2006 John Wiley & Sons, Ltd.